cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3836619
title: Planilhas de desenvolvidas para o artigo intitulado "APLICAÇÃO DA MICROMEDIÇÃO PARA RACIONALIZAÇÃO DO USO DA ÁGUA EM CAMPUS UNAPLICAÇÃO DA MICROMEDIÇÃO PARA RACIONALIZAÇÃO DO USO DA ÁGUA EM CAMPUS UNIVERSITÁRIOIVERSITÁRIO"

description: Planilhas desenvolvidas para o artigo intitulado “APLICAÇÃO DA MICROMEDIÇÃO PARA RACIONALIZAÇÃO DO USO DA ÁGUA EM CAMPUS UNIVERSITÁRIO”. Ele foi submetido no CIEA - CONGRESSO INTERNACIONAL DE ENGENHARIA AMBIENTAL. 1. Na planilha “Banco de dados” estão todos os dados usados na pesquisa. 2. A planilha denominada "Torneiras.MT, xlsx", "Vasos sanitários, xlsx" ,"Mictórios, xlsx" e "Chuveiros, xlsx", refere-se as análise feitas para a pesquisa.
description: A realização do estudo permitiu evidenciar quais equipamentos usam mais água no seu funcionamento, aponta a necessidade de substituição destes por novos equipamentos hidráulicos economizadores, além de expor a indispensabilidade de manutenções preditivas e corretivas mais frequentes para a obtenção de índices de uso de água menores do que os observados.
DOI: 10.5281/zenodo.4306024
title: Data and model files of dynELMOD used in OSE project

description: The upload provides all the model files and data assumptions used for the dynELMOD runs performed in the Open Source Energiewende project.
DOI: 10.5281/zenodo.4305947
title: Data and model files of dynELMOD used in OSE project

description: The upload provides all the model files and data assumptions used for the dynELMOD runs performed in the Open Source Energiewende project.
DOI: 10.5281/zenodo.4305971
title: Planilha desenvolvida para o artigo intitulado "APLICAÇÃO DA MICROMEDIÇÃO PARA RACIONALIZAÇÃO DO USO DA ÁGUA EM CAMPUS UNAPLICAÇÃO DA MICROMEDIÇÃO PARA RACIONALIZAÇÃO DO USO DA ÁGUA EM CAMPUS UNIVERSITÁRIOIVERSITÁRIO"

description: Quarta versão da planilha dos equipamentos hidrossanitários desenvolvida para o artigo intitulado “APLICAÇÃO DA MICROMEDIÇÃO PARA RACIONALIZAÇÃO DO USO DA ÁGUA EM CAMPUS UNIVERSITÁRIO”. 1. Na planilha estão todos os dados usados na pesquisa; 2. Estruturada em abas classificadas em entrada, processamento e saída de dados; 3. Avaliação da incerteza da medição direta: volume e tempo; 4 Aplicação da Lei de propagação de incerteza para avaliação da incerteza da vazão (incerteza da medição indireta).
description: A realização do estudo permitiu evidenciar quais equipamentos utilizam mais água durante seu funcionamento, aponta a necessidade de manutenção ou substituição dos equipamentos hidrossanitários. E com a realização do calculo da incerteza foi acreditado uma grau de credibilidade maior ao estudo.
DOI: 10.6084/m9.figshare.12681464
title: Road Effect Zone for Bats_DataSet

description: Data used in article
DOI: 10.6084/m9.figshare.12681464.v1
title: Road Effect Zone for Bats_DataSet

description: Data used in article
DOI: 10.5281/zenodo.4306015
title: Token-based data sets for the analysis of the academic language of literary studies and linguistics

description: These are the token-based data sets used for my PhD thesis ("Potentiale syntaktischer Annotationen für die datengeleitete Sprachbeschreibung am Beispiel der Wissenschaftssprachen der Germanistik", publication in progress). For python scripts and further data see https://github.com/melandresen/dissertation. Due to copyright law, the annotated texts of the corpus could only be published without the token layer. The files provided here include the token-based frequency data that have been derived from the origial texts and can be used as input to the analysis scripts in the GitHub-Repository.
DOI: 10.5281/zenodo.4306014
title: Token-based data sets for the analysis of the academic language of literary studies and linguistics

description: These are the token-based data sets used for my PhD thesis ("Potentiale syntaktischer Annotationen für die datengeleitete Sprachbeschreibung am Beispiel der Wissenschaftssprachen der Germanistik", publication in progress). For python scripts and further data see https://github.com/melandresen/dissertation. Due to copyright law, the annotated texts of the corpus could only be published without the token layer. The files provided here include the token-based frequency data that have been derived from the origial texts and can be used as input to the analysis scripts in the GitHub-Repository.
DOI: 10.5281/zenodo.4305919
title: EVs/Charging Stations Data

description: Real-time data collected by six electric vehicles and three charging stations involved in Italian Energy Pilot in SOFIE EU project (GA n.779984)
DOI: 10.5281/zenodo.3678168
title: EVs/Charging Stations Data

description: Real-time data collected by six electric vehicles and three charging stations involved in Italian Energy Pilot in SOFIE EU project (GA n.779984)
DOI: 10.5281/zenodo.4306043
title: Replication package for: Improving Management with Individual and Group-Based Consulting: Results from a Randomized Experiment in Colombia

description: This package contains the data and code needed to reproduce tables and figures in Iacovone, Maloney and McKenzie (forthcoming) " <strong>Improving Management with Individual and Group-Based Consulting: Results from a Randomized Experiment in Colombia"., <em>Review of Economic Studies</em></strong>. Anonymized firm data are provided for analyzing impacts on management and employment. Authorized log files and output files are provided for analysis that uses the confidential EAM data, along with instructions for applying to access these data if required.
DOI: 10.17034/989e4cf1-9c9b-4d6f-a4fc-ebbbfc4fb58c
title: Dataset for "Gold nanoparticle cellular uptake and its implications for cancer therapy"

description: The associated dataset contains videos which supplement the associated thesis. The first three files concern the results of the fluorescence lifetime imaging microscopy (FLIM) study of live cell samples treated with gold nanoparticle (AuNP) formulations, detailed in Chapters 2 and 3. The analysis procedure for this study produces image files in a time series showing the distribution of the AuNP signal (red-gold colour bar) about the cells (membranes highlighted by blue colour bar), as presented in the thesis. Shown here is the same data in video format to aid ease of viewing of how the data changes over time. The last file contains a video displaying the result of the dual-angle X-ray fluorescence (XRF) microscopy study, presented in Chapters 4 and 5. The video shows the three dimensional reconstruction of the imaged cell and AuNPs, along with the dual-XRF images taken in order to show how the reconstruction is carried out.
DOI: 10.6084/m9.figshare.13237064
title: Viveiros et al. Data Supplement S1

description: Sex- and Age- disaggregated data for COVID-19 cases and mortality. Raw Data Supplement S1 for:<br>Viveiros <i>et al</i>. Sex Differences in COVID-19: Candidate Pathways, Genetics of ACE2, and Sex Hormones.
DOI: 10.6084/m9.figshare.13237064.v1
title: Viveiros et al. Data Supplement S1

description: Sex- and Age- disaggregated data for COVID-19 cases and mortality. Raw Data Supplement S1 for:<br>Viveiros <i>et al</i>. Sex Differences in COVID-19: Candidate Pathways, Genetics of ACE2, and Sex Hormones.
DOI: 10.5281/zenodo.3537604
title: CLDF dataset derived from Bodt's "Lexical Cognates in Western Kho-Bwa" from 2019

description: Cite the source dataset as Bodt, Timotheus Adrianus and List, Johann-Mattis (2019): Testing the predictive strength of the comparative method: An ongoing experiment on unattested words in Western Kho-Bwa languages. Jena: MPI-SHH.
DOI: 10.5517/ccdc.csd.cc21mb78
title: CCDC 1895409: Experimental Crystal Structure Determination

description: Related Article: Roknuzzaman, Mahadhi H. Khan, S. M. Tareque Abedin, Shariff E. Kabir|2020|Indian J.Chem.,Sect.A:Inorg.,Bio-inorg.,Phys.,Theor.Anal.Chem.|59A|741|
DOI: 10.5517/ccdc.csd.cc21mbhj
title: CCDC 1895417: Experimental Crystal Structure Determination

description: Related Article: Roknuzzaman, Mahadhi H. Khan, S. M. Tareque Abedin, Shariff E. Kabir|2020|Indian J.Chem.,Sect.A:Inorg.,Bio-inorg.,Phys.,Theor.Anal.Chem.|59A|741|
DOI: 10.5517/ccdc.csd.cc25p2pn
title: CCDC 2016261: Experimental Crystal Structure Determination

description: Related Article: Dmytro Sysoiev, Thomas Huhn|2020|Photochem.Photobiol.Sci.|19|1511|doi:10.1039/D0PP00292E
DOI: 10.5517/ccdc.csd.cc25xl1r
title: CCDC 2023464: Experimental Crystal Structure Determination

description: Related Article: Dongying Fu, Shichao Wu, Jianli Xin, Xinyuan Zhang, Gaoyi Han, Xian-Ming Zhang|2020|Chem.Commun.|56|14381|doi:10.1039/D0CC05679K
DOI: 10.5517/ccdc.csd.cc2625m3
title: CCDC 2027884: Experimental Crystal Structure Determination

description: Related Article: Min Deng, Nathan D. Schley, Gaël Ung|2020|Chem.Commun.|56|14813|doi:10.1039/D0CC06568D
DOI: 10.5517/ccdc.csd.cc267lqs
title: CCDC 2033095: Experimental Crystal Structure Determination

description: Related Article: Uwe Schmidt, Felipe Fantuzzi, Merle Arrowsmith, Alexander Hermann, Dominic Prieschl, Anna Rempel, Bernd Engels, Holger Braunschweig|2020|Chem.Commun.|56|14809|doi:10.1039/D0CC06398C
DOI: 10.5517/ccdc.csd.cc267lsv
title: CCDC 2033097: Experimental Crystal Structure Determination

description: Related Article: Uwe Schmidt, Felipe Fantuzzi, Merle Arrowsmith, Alexander Hermann, Dominic Prieschl, Anna Rempel, Bernd Engels, Holger Braunschweig|2020|Chem.Commun.|56|14809|doi:10.1039/D0CC06398C
DOI: 10.25345/c5pr4t
title: MassIVE MSV000086557 - Oral Signature Screening Database for Palaeoproteomic Analyses of Dental Calculus
title: As the proteomic analysis of dietary peptides retrieved from archaeological materials becomes more common, new methods of authentication need to be considered. Here we present an oral signature screening database (hereafter OSSD) developed specifically for ancient dental calculus. By using the OSSD as a first screening step we hope it can help users quickly identify problematic samples as well as those which could potentially be good candidates for endogenous dietary proteins.
DOI: 10.5683/sp/ad4ex6
title: Some Sample Data

description: Some sample data
DOI: 10.7910/dvn/micqxy
title: Code for "Improved Quantification of Myocardium Scar in Late Gadolinium Enhancement Images: Deep Learning Based Image Fusion Approach "

description: The networks were implemented using Python-V3.6 (Python Software Foundation, www.python.org) and Tensorflow-V2.1 (Google Inc., Mountain View, CA).
DOI: 10.25573/serc.13315472
title: Dataset: Assessing coastal carbon variability in two Delaware tidal marshes

description: Sediment cores were collected in at the St. Jones and Blackbird Creek Reserves in Delaware between 2017-2019 with the goal of measuring organic matter, sediment carbon, and dry bulk density. These data were used to assess the variability, mean, and range of carbon densities within two Delaware tidal marshes. An analysis of these data are available in the Journal of Coastal Conservation (St.Laurent et al, 2020).
DOI: 10.25573/serc.13315472.v1
title: Dataset: Assessing coastal carbon variability in two Delaware tidal marshes

description: Sediment cores were collected in at the St. Jones and Blackbird Creek Reserves in Delaware between 2017-2019 with the goal of measuring organic matter, sediment carbon, and dry bulk density. These data were used to assess the variability, mean, and range of carbon densities within two Delaware tidal marshes. An analysis of these data are available in the Journal of Coastal Conservation (St.Laurent et al, 2020).
DOI: 10.5281/zenodo.4306115
title: Example BOUT++ output from blob2d

description: Output files for the blob2d example from BOUT++ (https://github.com/boutproject/BOUT-dev/tree/next/examples/blob2d). Created with BOUT++ at commit 999793fe363e062fd47da20bcd8ff679c85a8b30.
DOI: 10.5281/zenodo.4298581
title: Example BOUT++ output from blob2d

description: Output files for the blob2d example from BOUT++ (https://github.com/boutproject/BOUT-dev/tree/next/examples/blob2d). Created with BOUT++ at commit 999793fe363e062fd47da20bcd8ff679c85a8b30.
DOI: 10.48320/c84c4b58-2615-4132-937f-b296d2ba6e93
title: Participation in Euromaidan and Antimaidan movements, Ukraine, 2014
DOI: 10.26208/z864-qk73
title: Ensemble model output of North American atmospheric CO2 simulations for summer 2016, including transport, CASA and CT2017, and boundary condition ensembles
DOI: 10.5281/zenodo.4306085
title: University of Nebraska-Lincoln Unmanned Aerial System observations from LAPSE-RATE

description: This dataset contains thermodynamic (pressure, temperature, humidity) measurements from the University of Nebraska-Lincoln unmanned aerial system multirotors during the LAPSE-RATE campaign from 14--19 July 2018. This dataset contains 171 files from two multirotors. File names are coded as per the LAPSE-RATE community standard naming agreement. See README_v1.txt for more information about the naming convention and other details.
description: This work was partially supported by NSF IIA-1539070, IIS-1638099, and USDA-NIFA 2017-67021-25924. Limited general support for LAPSE-RATE was provided by the US National Science Foundation (AGS 1807199)and the US Department of Energy (DE-SC0018985) in the form of travel support for early-career participants. Support for the planning and execution of the campaign was provided by the NOAA Physical Sciences Division and NOAA UAS Program.
DOI: 10.15468/km748u
title: A remarkable new species of Micropeza Meigen (Diptera: Micropezidae) from Caatinga biome, Brazil

description: This dataset contains the digitized treatments in Plazi based on the original journal article Soares, Matheus M. M., Barros, Luana M., Ale-Rocha, Rosaly (2020): A remarkable new species of Micropeza Meigen (Diptera: Micropezidae) from Caatinga biome, Brazil. Zootaxa 4890 (3): 439-445, DOI: https://doi.org/10.11646/zootaxa.4890.3.10
DOI: 10.5281/zenodo.3999999
title: TARA-PACIFIC_telomere-length

description: Samples : High molecular weigth DNA was extracted from an apex of coral nubbins from the TARA-Pacific CS40 sampling. Telomere length was measured using Telomere Restriction Fragment assay using radioactive probes to measure the host telomere length sequence (TTAGGG)<sub>n</sub>, also referred as T2, or the symbionts telomere length sequence (TTTAGGG)<sub>n</sub>, also referred as T3. Measurements was successfully performed for the host telomere repeat sequence on 1098 samples, for the symbiont repeat sequence on 882 samples, measurements were successfully performed several times with the host telomere probe for 248 samples and with the symbiont telomere probe for 115 samples. <strong>File structure</strong> Variables : <strong>1-sampleID</strong>: TARA PACIFIC Colony ID barcod <strong>2- sampling-design:</strong> TARA PACIFIC Colony ID encoding for sampling, the island, site and colony (ex: OA000-I01S01C001 stands for Island 1, site 1 and coral colony 1) <strong>3-n: </strong>Number of measurements done with the host telomere probe (TTAGGG)<sup>*</sup>. <strong>4- Mean:</strong> Host mean telomere length measured in kilobases.<sup>*</sup> <strong>5- standard-deviation: </strong>Standard deviation of the mean measured between the number of measurements done with the host telomere probe (TTAGGG)<sup>*</sup>. <strong>6-percentile-50:</strong> Host median telomere length measured in kilobases.<sup>*</sup> <strong>7-percentile-75:</strong> Host 3<sup>rd</sup> quartile telomere length limit below which lies 75% of the signal, measured in kilobases.<sup>*</sup> <strong>8-percentile-25:</strong> Host 1<sup>st</sup> quartile telomere length limit below which lies 25% of the signal, measured in kilobases.<sup>*</sup> <strong>9-interpercentile-p75-p25-distance:</strong> Distance between host_percentile-25 and host_percentile-75 telomere length, measured in kilobases.<sup>*</sup> <strong>10-n: </strong>Number of measurements done with the symbiont telomere probe (TTTAGGG)<sup>*</sup>. <strong>4- Mean:</strong> Symbiont mean telomere length measured in kilobases.<sup>*</sup> <strong>5- standard-deviation: </strong>Standard deviation of the mean measured between the number of measurements done with the symbiont telomere probe (TTAGGG)<sup>*</sup>. <strong>6-percentile-50:</strong> Symbiont median telomere length measured in kilobases.<sup>*</sup> <strong>7-percentile-75:</strong> Symbiont 3<sup>rd</sup> quartile telomere length limit below which lies 75% of the signal, measured in kilobases.<sup>*</sup> <strong>8-percentile-25:</strong> Symbiont 1<sup>st</sup> quartile telomere length limit below which lies 25% of the signal, measured in kilobases.<sup>*</sup> <strong>9-interpercentile-p75-p25-distance:</strong> Distance between symbiont_percentile-25 and symbiont_percentile-75 telomere length, measured in kilobases.<sup>*</sup> <strong><em><sup>*</sup></em></strong><em> When signal was undetected measurements is encoded by “not available”.</em>
DOI: 10.5281/zenodo.3999998
title: TARA-PACIFIC_telomere-length

description: Samples : High molecular weigth DNA was extracted from an apex of coral nubbins from the TARA-Pacific CS40 sampling. Telomere length was measured using Telomere Restriction Fragment assay using radioactive probes to measure the host telomere length sequence (TTAGGG)<sub>n</sub>, also referred as T2, or the symbionts telomere length sequence (TTTAGGG)<sub>n</sub>, also referred as T3. Measurements was successfully performed for the host telomere repeat sequence on 1098 samples, for the symbiont repeat sequence on 882 samples, measurements were successfully performed several times with the host telomere probe for 248 samples and with the symbiont telomere probe for 115 samples. <strong>File structure</strong> Variables : <strong>1-sampleID</strong>: TARA PACIFIC Colony ID barcod <strong>2- sampling-design:</strong> TARA PACIFIC Colony ID encoding for sampling, the island, site and colony (ex: OA000-I01S01C001 stands for Island 1, site 1 and coral colony 1) <strong>3-n: </strong>Number of measurements done with the host telomere probe (TTAGGG)<sup>*</sup>. <strong>4- Mean:</strong> Host mean telomere length measured in kilobases.<sup>*</sup> <strong>5- standard-deviation: </strong>Standard deviation of the mean measured between the number of measurements done with the host telomere probe (TTAGGG)<sup>*</sup>. <strong>6-percentile-50:</strong> Host median telomere length measured in kilobases.<sup>*</sup> <strong>7-percentile-75:</strong> Host 3<sup>rd</sup> quartile telomere length limit below which lies 75% of the signal, measured in kilobases.<sup>*</sup> <strong>8-percentile-25:</strong> Host 1<sup>st</sup> quartile telomere length limit below which lies 25% of the signal, measured in kilobases.<sup>*</sup> <strong>9-interpercentile-p75-p25-distance:</strong> Distance between host_percentile-25 and host_percentile-75 telomere length, measured in kilobases.<sup>*</sup> <strong>10-n: </strong>Number of measurements done with the symbiont telomere probe (TTTAGGG)<sup>*</sup>. <strong>4- Mean:</strong> Symbiont mean telomere length measured in kilobases.<sup>*</sup> <strong>5- standard-deviation: </strong>Standard deviation of the mean measured between the number of measurements done with the symbiont telomere probe (TTAGGG)<sup>*</sup>. <strong>6-percentile-50:</strong> Symbiont median telomere length measured in kilobases.<sup>*</sup> <strong>7-percentile-75:</strong> Symbiont 3<sup>rd</sup> quartile telomere length limit below which lies 75% of the signal, measured in kilobases.<sup>*</sup> <strong>8-percentile-25:</strong> Symbiont 1<sup>st</sup> quartile telomere length limit below which lies 25% of the signal, measured in kilobases.<sup>*</sup> <strong>9-interpercentile-p75-p25-distance:</strong> Distance between symbiont_percentile-25 and symbiont_percentile-75 telomere length, measured in kilobases.<sup>*</sup> <strong><em><sup>*</sup></em></strong><em> When signal was undetected measurements is encoded by “not available”.</em>
DOI: 10.7910/dvn/kduusm
title: Experiments

description: Experiments
DOI: 10.5281/zenodo.4306240
title: Uniprot datasets for training taxonomic classification

description: The data is based on the UniProt-Swiss-Prot release 2020-04 dataset and contains data derived from amino acid sequences of human, bacterial and viral origin. From each original sequence we created multiple patches of length 100 using a sliding window. The data is stored in the FASTA format according to<br> <br> &gt;{ID}_{patch index}|{class marker}<br> sequence<br> <br> with<br> <br> ID - denotes the ID of the original sequence in the UniProt-Swiss-Prot dataset<br> sequence - patch of length 100 of an amino acid sequence<br> patch_index - denotes the starting index of the given patch within the original sequence<br> class marker - indicates the taxonomic class<br> 0 - virus<br> 1 - bacteria<br> 2 - human / mammal<br> <br> The data is split into test, training and validation set which contain the following number of patches per class:<br> <br> <br> - train: 4.891.278<br> - test: 611.602<br> - val: 611.602
description: The authors acknowledge the financial support by the Federal Ministry of Education and Research of Germany (BMBF) in the project deep.Health (project number 13FH770IX6).
DOI: 10.5281/zenodo.4306239
title: Uniprot datasets for training taxonomic classification

description: The data is based on the UniProt-Swiss-Prot release 2020-04 dataset and contains data derived from amino acid sequences of human, bacterial and viral origin. From each original sequence we created multiple patches of length 100 using a sliding window. The data is stored in the FASTA format according to<br> <br> &gt;{ID}_{patch index}|{class marker}<br> sequence<br> <br> with<br> <br> ID - denotes the ID of the original sequence in the UniProt-Swiss-Prot dataset<br> sequence - patch of length 100 of an amino acid sequence<br> patch_index - denotes the starting index of the given patch within the original sequence<br> class marker - indicates the taxonomic class<br> 0 - virus<br> 1 - bacteria<br> 2 - human / mammal<br> <br> The data is split into test, training and validation set which contain the following number of patches per class:<br> <br> <br> - train: 4.891.278<br> - test: 611.602<br> - val: 611.602
description: The authors acknowledge the financial support by the Federal Ministry of Education and Research of Germany (BMBF) in the project deep.Health (project number 13FH770IX6).
DOI: 10.15468/2en83w
title: Report of ciliate-bryozoan-crustacean hyperepibiosis on crab (Decapoda Brachyura) from west coast of India, Arabian Sea

description: This dataset contains the digitized treatments in Plazi based on the original journal article Chatterjee, Tapas, Dovgal, Igor, Vieira, Leandro M., Dutta, Arpita, Nanajkar, Mandar (2020): Report of ciliate-bryozoan-crustacean hyperepibiosis on crab (Decapoda Brachyura) from west coast of India, Arabian Sea. Zootaxa 4890 (3): 347-360, DOI: https://doi.org/10.11646/zootaxa.4890.3.3