cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34820/fk2/xqbto7/jadhab
title: LDR & Photodioda Sensor Data NTU.tab

description: The dataset provide the information about sensitivity scale of the Photodiode and the LDR as a water quality sensors in NTU scale. The testing equipment uses PVC pipe ¾ inches and purifies sensor consisting of a 5-mm LED light with 12 V as a 5-mm transmitter and photodiode with 5 V as a receiver. The distance between the photodiode and the LED is around 5 cm. The sensitivity scale testing is conducting to find out the value of the sensors against the changes of NTU values. The test is carried out on the test tube by adding some drops of 5 ml of NTU water which are given gradually to the tube. The water that is used as a reference for the system is the water with a value of 5 NTU. The samples taken were the water samples of the water with NTU value equal to 1 NTU, 5 NTU, 10 NTU, 20 NTU, 50 NTU and 100 NTU.
DOI: 10.34820/fk2/xqbto7
title: Water Quality Sensor's Data using Photodiode and LDR in Nephelometric Turbidity Unit (NTU) Scale

description: The dataset provide the information about sensitivity scale of the Photodiode and the LDR as a water quality sensors in NTU scale. The testing equipment uses PVC pipe ¾ inches and purifies sensor consisting of a 5-mm LED light with 12 V as a 5-mm transmitter and photodiode with 5 V as a receiver. The distance between the photodiode and the LED is around 5 cm. The sensitivity scale testing is conducting to find out the value of the sensors against the changes of NTU values. The test is carried out on the test tube by adding some drops of 5 ml of NTU water which are given gradually to the tube. The water that is used as a reference for the system is the water with a value of 5 NTU. The samples taken were the water samples of the water with NTU value equal to 1 NTU, 5 NTU, 10 NTU, 20 NTU, 50 NTU and 100 NTU.
DOI: 10.25345/c58k75120
title: MassIVE MSV000089156 - Zn deficiency 7 days in Prunus
title: Zinc deficiency effect int the root metabolome of the Prunus rootstock GF 677
DOI: 10.6084/m9.figshare.19453472
title: Supplementary Material for: Comparison of Outcomes of In-Centre Haemodialysis Patients between the 1st and 2nd COVID-19 Outbreak in England, Wales, and Northern Ireland: A UK Renal Registry Analysis

description: <b><i>Introduction:</i></b> This retrospective cohort study compares in-centre haemodialysis (ICHD) patients’ outcomes between the 1st and 2nd waves of the COVID-19 pandemic in England, Wales, and Northern Ireland. <b><i>Methods:</i></b> All people aged ≥18 years receiving ICHD at 31 December 2019, who were still alive and not in receipt of a kidney transplant at 1 March and who had a positive polymerase chain reaction test for SARS-CoV-2 between 1 March 2020 and 31 January 2021, were included. The COVID-19 infections were split into two “waves”: wave 1 from March to August 2020 and wave 2 from September 2020 to January 2021. Cumulative incidence of COVID-19, multivariable Cox models for risk of positivity, median, and 95% credible interval of reproduction number in dialysis units were calculated separately for wave 1 and wave 2. Survival and hazard ratios for mortality were described with age- and sex-adjusted Kaplan-Meier plots and multivariable Cox proportional models. <b><i>Results:</i></b> 4,408 ICHD patients had COVID-19 during the study period. Unadjusted survival at 28 days was similar in both waves (wave 1 75.6% [95% confidence interval [CI]: 73.7–77.5], wave 2 76.3% [95% CI 74.3–78.2]), but death occurred more rapidly after detected infection in wave 1. Long vintage treatment and not being on the transplant waiting list were associated with higher mortality in both waves. <b><i>Conclusions:</i></b> Risk of death of patients on ICHD treatment with COVID-19 remained unchanged between the first and second outbreaks. This highlights that this vulnerable patient group needs to be prioritized for interventions to prevent severe COVID-19, including vaccination, and the implementation of measures to reduce the risk of transmission alone is not sufficient.
DOI: 10.5281/zenodo.6320594
title: GreenCharge Open Research Data

description: These datasets are collected from the pilots in the H2020 GreenCharge project. The data format and content is described in the GreenCharge Deliverable D5.6 Open Research Data.
DOI: 10.5281/zenodo.6320593
title: GreenCharge Open Research Data

description: These datasets are collected from the pilots in the H2020 GreenCharge project. The data format and content is described in the GreenCharge Deliverable D5.6 Open Research Data.
DOI: 10.6084/m9.figshare.19453481
title: Data for Teunissen & Peters 2022. Predator suppression by a toxic invader does not cascade to prey due to predation by alternate predators. Biological Invasions.

description: Datasets used to analyse:1. Abundance of predators and prey after relative to before cane toad arrival.<br>2. Daily purple-crowned fairy-wren nest survival after relative to before cane toad arrival.3. Likelihood of nest predation by different predator types after relative to before cane toad arrival.
DOI: 10.5281/zenodo.6395868
title: Supplementary material

description: Supplementary materials and dataset Douro
DOI: 10.5281/zenodo.6395867
title: Supplementary material

description: Supplementary materials and dataset Douro
DOI: 10.21335/nmdc-nersc-2062295180
title: XBT data collected north of Svalbard, during the UAK 2021 Research School with KV Svalbard

description: XBT data collected north of Svalbard, during the UAK 2021 Research School with KV Svalbard. Data has been processed with the Sea-Bird SBEDataprocessing tool.
DOI: 10.23729/ca1da110-2d4e-45c4-8876-57210fbb0b0d
title: Data for arxiv.org/abs/2112.01864

description: GUMICS ionospheric and magnetospheric output of https://arxiv.org/abs/2112.01864 Use tri2ascii_v1.py and dc2ascii_v1.py programs to convert results under v1 directory to ASCII format. Changelog: 2022-03-26 initial upload
DOI: 10.5281/zenodo.6395385
title: Dataset used for climatology of aerosol components concentration derived by GRASP algorithm from POLDER-3 observations

description: <strong>Dataset used for climatology of aerosol components concentration derived by GRASP algorithm from POLDER-3 observations</strong> 1. POLDER-3/GRASP aerosol component columnar volume concentration (0.001 mm<sup>3</sup>/m<sup>2</sup>) products (0.1 x 0.1 degree) for 2005-2013 Black carbon (BC) in fine mode Brown carbon (BrC) in fine mode Insoluble component in fine mode Soluble component in fine mode Aerosol water content in fine mode Absorbing component (iron in dust) in coarse mode Insoluble scattering component (mainly scattering dust) in coarse mode 2. Climatology of POLDER-3/GRASP aerosol component products (0.1 x 0.1 degree) in different seasons for 2005-2013 DJF (December-January-February ) season MAM (March-April-May) season JJA (June-July-August) season SON (September-October-November) season Columnar mass concentration can be calculated from volume concentration by the component density. Here, the density suggested is 1.8 g/cm<sup>3 </sup>for BC, 1.2 g/cm<sup>3 </sup>for BrC, 1.8 g/cm<sup>3 </sup>for fine mode insoluble component, 1.76 g/cm<sup>3 </sup>for fine mode soluble component, 1.0 g/cm<sup>3 </sup>for fine mode aerosol water, 2.5 g/cm<sup>3 </sup>for coarse mode insoluble component, 4.8 g/cm<sup>3 </sup>for coarse mode absorbing component. <strong><em>Please follow the data policy of each data source:</em></strong> POLDER-3/GRASP: GRASP-OPEN (https://www.grasp-open.com/products/) Details can be found in manuscript: Lei Li, Yevgeny Derimian, Cheng Chen, Xindan Zhang, Huizheng Che, Gregory L. Schuster, David Fuertes, Pavel Litvinov, Tatyana Lapyonok, Anton Lopatin, Christian Matar, Fabrice Ducos, Yana Karol, Benjamin Torres, Ke Gui, Yu Zheng, Yuanxin Liang, Yadong Lei, Jibiao Zhu, Lei Zhang, Junting Zhong, Xiaoye Zhang, and Oleg Dubovik. Climatology of aerosol components concentration derived by GRASP algorithm from multi-angular polarimetric POLDER-3 observations. submitted to ESSD, 2022.
DOI: 10.6084/m9.figshare.19446938.v4
title: Dataset of energetic value estimates for BaYaka food items

description: We present a database that systematically estimates the energetic value of wild and domesticated food resources collected and consumed by Congolese BaYaka foragers. This dataset is unique in that it accounts for everyday practices of food processing and consumption. Reported values of inedible portions, moisture content, and estimated energetic values (kcal/g) were extracted from field research and the published food chemistry and nutrition literature. These data are central to understanding how nutritional needs are met in rainforest environments and will allow for current and future tracking of diet composition in this environment and in similar ecologies.
DOI: 10.5281/zenodo.6395922
title: DDBJ workflow: 39bdced7-6204-4e68-9ff0-7c7b9bc0e9c4

description: This dataset was created by the GitHub - ddbj/yevis-cli.
DOI: 10.5281/zenodo.6395921
title: DDBJ workflow: 39bdced7-6204-4e68-9ff0-7c7b9bc0e9c4

description: This dataset was created by the GitHub - ddbj/yevis-cli.
DOI: 10.6084/m9.figshare.19446938.v5
title: Dataset of energetic value estimates for BaYaka food items/Base de données des estimations de la valeur énergétique des produits alimentaires BaYaka

description: We present a database that systematically estimates the energetic value of wild and domesticated food resources collected and consumed by Congolese BaYaka foragers. This dataset is unique in that it accounts for everyday practices of food processing and consumption. Reported values of inedible portions, moisture content, and estimated energetic values (kcal/g) were extracted from field research and the published food chemistry and nutrition literature. These data are central to understanding how nutritional needs are met in rainforest environments and will allow for current and future tracking of diet composition in this environment and in similar ecologies.<br>Nous présentons un ensemble de données qui estime systématiquement la valeur énergétique des ressources alimentaires sauvages et domestiques collectées et consommées par les fourrageurs congolais BaYaka. Cet ensemble de données est unique dans la mesure où il tient compte des pratiques quotidiennes de transformation et de consommation des aliments. Les valeurs rapportées des portions non comestibles, la teneur en humidité et les valeurs énergétiques estimées (kcal/g) ont été extraites des recherches sur le terrain et de la littérature publiée sur la chimie alimentaire et la nutrition. Ces données sont essentielles pour comprendre comment les besoins nutritionnels sont satisfaits dans les environnements de forêt tropicale et permettront de suivre la composition du régime alimentaire dans cet environnement et dans des écologies similaires.<br>
DOI: 10.6084/m9.figshare.14946186
title: Autogenerated databases of yield strength and grain size using ChemDataExtractor

description: (A) Three materials databases containing the properties: (i) yield strengths; (ii) grain size; (iii) combined yield strengths and grain size, (iv) engineering-ready-yield strengths; all autogenerated using ChemDataExtractor. <br>(B) The associated ChemDataExtractor code that is specific to data auto-extraction for these databases.
DOI: 10.5281/zenodo.5886671
title: Catalogues for 2021 zoonoses data reporting

description: The EFSA catalogues applied for the 2021 zoonoses data reporting are made available in Excel format for easier use and reference.
description: EU; XLSX; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.6379164
title: A Large-scale Dataset of (Open Source) License Text Variants

description: We introduce a large-scale dataset of the complete texts of free/open source software (FOSS) license variants. To assemble it we have collected from the Software Heritage archive—the largest publicly available archive of FOSS source code with accompanying development history—all versions of files whose names are commonly used to convey licensing terms to software users and developers.<br> The dataset consists of 6.5 million unique license files that can be used to conduct empirical studies on open source licensing, training of automated license classifiers, natural language processing (NLP) analyses of legal texts, as well as historical and phylogenetic studies on FOSS licensing.<br> Additional metadata about shipped license files are also provided, making the dataset ready to use in various contexts; they include: file length measures, detected MIME type, detected SPDX license (using ScanCode), example origin (e.g., GitHub repository), oldest public commit in which the license appeared.<br> The dataset is released as open data as an archive file containing all deduplicated license blobs, plus several portable CSV files for metadata, referencing blobs via cryptographic checksums. For more details see the included README file and companion paper: Stefano Zacchiroli. <em>A Large-scale Dataset of (Open Source) License Text Variants</em>. In proceedings of the 2022 Mining Software Repositories Conference (MSR 2022). 23-24 May 2022 Pittsburgh, Pennsylvania, United States. ACM 2022. If you use this dataset for research purposes, please acknowledge its use by citing the above paper.
DOI: 10.5281/zenodo.6394310
title: SoK: Taxonomy of Attacks on Open-Source Software Supply Chains - Visualization Tool Screenshots & Selected Papers

description: This artifact complements the paper "SoK: Taxonomy of Attacks on Open-Source Software Supply Chains", submitted at IEEE S&P 2023. The papers selected during the Systematic Literature Review (SLR) are presented in the CSV file. This screenshots display the main features of the visualization tool that allows to explore the taxonomy of attacks on OSS supply chains, as well as the related safeguards and the selected references.
DOI: 10.5281/zenodo.6394309
title: SoK: Taxonomy of Attacks on Open-Source Software Supply Chains - Visualization Tool Screenshots & Selected Papers

description: This artifact complements the paper "SoK: Taxonomy of Attacks on Open-Source Software Supply Chains", submitted at IEEE S&P 2023. The papers selected during the Systematic Literature Review (SLR) are presented in the CSV file. This screenshots display the main features of the visualization tool that allows to explore the taxonomy of attacks on OSS supply chains, as well as the related safeguards and the selected references.
DOI: 10.5281/zenodo.5723297
title: Dataset of "Tracking high-valent surface iron species in the oxygen evolution reaction on cobalt iron (oxy)hydroxides"

description: Dataset of the paper entitled "Tracking high-valent surface iron species in the oxygen evolution reaction on cobalt iron (oxy)hydroxides"
DOI: 10.5281/zenodo.5723296
title: Dataset of "Tracking high-valent surface iron species in the oxygen evolution reaction on cobalt iron (oxy)hydroxides"

description: Dataset of the paper entitled "Tracking high-valent surface iron species in the oxygen evolution reaction on cobalt iron (oxy)hydroxides"
DOI: 10.5281/zenodo.6395957
title: A Large-scale Dataset of (Open Source) License Text Variants

description: We introduce a large-scale dataset of the complete texts of free/open source software (FOSS) license variants. To assemble it we have collected from the Software Heritage archive—the largest publicly available archive of FOSS source code with accompanying development history—all versions of files whose names are commonly used to convey licensing terms to software users and developers.<br> The dataset consists of 6.5 million unique license files that can be used to conduct empirical studies on open source licensing, training of automated license classifiers, natural language processing (NLP) analyses of legal texts, as well as historical and phylogenetic studies on FOSS licensing.<br> Additional metadata about shipped license files are also provided, making the dataset ready to use in various contexts; they include: file length measures, detected MIME type, detected SPDX license (using ScanCode), example origin (e.g., GitHub repository), oldest public commit in which the license appeared.<br> The dataset is released as open data as an archive file containing all deduplicated license blobs, plus several portable CSV files for metadata, referencing blobs via cryptographic checksums. For more details see the included README file and companion paper: Stefano Zacchiroli. <em>A Large-scale Dataset of (Open Source) License Text Variants</em>. In proceedings of the 2022 Mining Software Repositories Conference (MSR 2022). 23-24 May 2022 Pittsburgh, Pennsylvania, United States. ACM 2022. If you use this dataset for research purposes, please acknowledge its use by citing the above paper.
DOI: 10.48366/r175304
title: Ontology Learning Review Comparison

description: This comparison describes different Ontology learning algorithms along with their method, material and results
DOI: 10.5281/zenodo.6379163
title: A Large-scale Dataset of (Open Source) License Text Variants

description: We introduce a large-scale dataset of the complete texts of free/open source software (FOSS) license variants. To assemble it we have collected from the Software Heritage archive—the largest publicly available archive of FOSS source code with accompanying development history—all versions of files whose names are commonly used to convey licensing terms to software users and developers.<br> The dataset consists of 6.5 million unique license files that can be used to conduct empirical studies on open source licensing, training of automated license classifiers, natural language processing (NLP) analyses of legal texts, as well as historical and phylogenetic studies on FOSS licensing.<br> Additional metadata about shipped license files are also provided, making the dataset ready to use in various contexts; they include: file length measures, detected MIME type, detected SPDX license (using ScanCode), example origin (e.g., GitHub repository), oldest public commit in which the license appeared.<br> The dataset is released as open data as an archive file containing all deduplicated license blobs, plus several portable CSV files for metadata, referencing blobs via cryptographic checksums. For more details see the included README file and companion paper: Stefano Zacchiroli. <em>A Large-scale Dataset of (Open Source) License Text Variants</em>. In proceedings of the 2022 Mining Software Repositories Conference (MSR 2022). 23-24 May 2022 Pittsburgh, Pennsylvania, United States. ACM 2022. If you use this dataset for research purposes, please acknowledge its use by citing the above paper.
DOI: 10.5519/qd.j8fs3rgz
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1001 records)
DOI: 10.5281/zenodo.6395902
title: Experimental data for the article Effect of Different Fuels on Combustion Instabilities in an Annular Combustor

description: This data set contains the measurements in MICCA-Spray combustor at the EM2C laboratory exhibiting azimuthal instabilities with liquid heptane fuel. The equivalence ratio and thermal power are systematically varied during the experiments. The swirler used is called 716 and further details are available in the article “Effect of different fuels on combustion instabilities in an annular combustion” Preethi Rajendram Soundararajan, Guillaume Vignat, Daniel Durox, Antoine Renaud, Sébastien Candel, Journal of Engineering for Gas Turbines and Power, vol. 143, 2021.
DOI: 10.5281/zenodo.6395901
title: Experimental data for the article Effect of Different Fuels on Combustion Instabilities in an Annular Combustor

description: This data set contains the measurements in MICCA-Spray combustor at the EM2C laboratory exhibiting azimuthal instabilities with liquid heptane fuel. The equivalence ratio and thermal power are systematically varied during the experiments. The swirler used is called 716 and further details are available in the article “Effect of different fuels on combustion instabilities in an annular combustion” Preethi Rajendram Soundararajan, Guillaume Vignat, Daniel Durox, Antoine Renaud, Sébastien Candel, Journal of Engineering for Gas Turbines and Power, vol. 143, 2021.
DOI: 10.5281/zenodo.6395954
title: Squirls | v1 | ingest files

description: Non-public data required to generate Squirls resource files.
DOI: 10.5281/zenodo.6395953
title: Squirls | v1 | ingest files

description: Non-public data required to generate Squirls resource files.
DOI: 10.5281/zenodo.6353988
title: Data set: HRR images premixed hydrogen flames

description: Dataset: OH-Chemiluminescence images of hydrogen flames.
DOI: 10.7910/dvn/lgehs9
title: Supporting document for: Identification and bioactivity evaluation of flavan-3-ols in the milk of dairy sheep fed Cynomorium songaricum

description: Supporting document for: Identification and bioactivity evaluation of flavan-3-ols in the milk of dairy sheep fed Cynomorium songaricum
DOI: 10.5281/zenodo.6353987
title: Data set: HRR images premixed hydrogen flames

description: Dataset: OH-Chemiluminescence images of hydrogen flames.
DOI: 10.6084/m9.figshare.19161825.v1
title: Phylogenetic relationships of the European trilophosaurids <i>Tricuspisaurus thomasi</i> and <i>Variodens inopinatus</i>

description: Trilophosauridae are an extinct group of archosauromorphs from the Upper Triassic of western North America and Nova Scotia. Possible trilophosaurids <i>Tricuspisaurus thomasi</i> and <i>Variodens inopinatus</i> have also been reported from Upper Triassic fissure fills in the southwest of the United Kingdom, based on their multi-cuspid dentitions. Here, we provide an updated description of <i>V. inopinatus</i> and add to the description of <i>T. thomasi</i>, including re-examining CT scans of its holotype dentary. We confirm that the apparent gap on the dentary of <i>T. thomasi</i> is pathological, with the dentine of the teeth on either side of the gap asymmetrically thick, and that heavy vascularization of the anterior part of the dentary confirms it likely had a keratinous rhamphotheca. Our cladistic analyses, to which we add nine new characters, confirm that <i>T. thomasi</i> and <i>V. inopinatus</i> are closely related taxa and the youngest known trilophosaurids. Further, we support a previous suggestion that the relatively small size of these two European trilophosaurids results from insular dwarfism.
DOI: 10.15151/esrf-es-686690845
title: The Iberian cryoEM community BAG

description: The Iberian cryoEM BAG is a large consortium (&gt; 30 groups) composed of Portuguese and Spanish groups working in biologically relevant problems including disease-related metabolic enzymes, antibiotic resistance, DNA replication and DNA maintenance, protein synthesis, virus structure and mechanisms, and macromolecular complexes involved in the control of key cellular processes like protein folding and degradation.
DOI: 10.6084/m9.figshare.18743673
title: <i>Lophionotus parnaibensis</i>, sp. nov. (Semionotiformes, Semionotidae) in the Upper Jurassic of the Parnaíba Basin, northeastern Brazil

description: Semionotiformes is a diverse extinct group in Neopterygii. It is well represented in the Mesozoic, occurring in marine and continental strata worldwide. However, some diagnostic characters of Semionotiformes and, in particular, of Semionotidae, have been under debate, due to the description of new taxa or revision of previously known ones. In this paper, we provide a detailed description of the first unequivocal record of Semionotidae from Gondwana, i.e., <i>Lophionotus parnaibensis</i>, sp. nov. from the Pastos Bons Formation, Upper Jurassic, in the Parnaíba Basin, northeastern Brazil. It was included in the genus <i>Lophionotus</i> mainly due to the presence of smooth cranial bones, triangular lateral expansion of antorbital portion of frontal, and ratio length/width of frontals lower than three times. It was recovered as a new species due to a unique combination of characters. This discovery represents the most recent occurrence of the genus, which was previously recorded only in the U.S.A. up to the Early Jurassic.