cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4114437
title: EMUE-RMG-1-GasFlowCalibration

description: Flow meter calibration using the master meter method This example demonstrates the calibration of a gas flow measuring instrument by the so-called “master meter” method, i.e. by comparing the measured flow on a master meter (reference standard) and the measured flow on the device under test. Files contained in dataset are: Flow_meter_calibration_using_the_master_meter_method.pdf RMG11_ExampleSAGAS.tex: LaTeX file to be compiled in order to produce Flow_meter_calibration_using_the_master_meter_method.pdf, EMPIR.jpg: figure file, EMUELogo-03.jpg: figure file, SAGAS1.png: figure file, SAGASGUMandMCM.jpg: figure file, RMG11.bib: bibliography file, GUM_SAGAS.mat: MATLAB function that calculates measurement uncertainty by following the GUM principle, GUMSupp1_SAGAS.mat: MATLAB function that calculates measurement uncertainty by following GUM Supplement 1 principle (Monte Carlo method), InputData.mat: MATLAB function for input data, MainScript.mat: Model developed in MATLAB that calculates estimated gas flow error and the associated measurement uncertainty (GUM and Monte Carlo method). This file that uses MATLAB functions (developed for this example): SetFormattingSymbols, InputData, GUM_SAGAS, GUMSupp1_SAGAS, Results, PlotGUMAndMCM_SAGAS, PlotGUMAndMCM_SAGAS.mat: MATLAB function for plotting the results, Results.mat: MATLAB function for displaying the results, SetFormatingSymbols.mat: MATLAB function for setting formatting symbols.
description: In the "Flow_meter_calibration_using_the_master_meter_method.pdf" Table 1 and Table 2 the data on flow, pressure, temperature and similar can be found. These data can serve as additional input data when running the program MainScript.mat. Since all the .mat files except MainScript.mat are MATLAB functions necessary for running the MainScript, all of them including MainScript should be located in one folder when running the program.
DOI: 10.18430/m36ors
title: X-ray diffraction data for the structure of Plasmepsin X (PM10, PMX) from Plasmodium falciparum 3D7 (6ORS)
DOI: 10.5258/soton/d1529
title: Dataset for "Supercontinuum generation in tantalum pentoxide waveguides for pump wavelengths in the 900 nm to 1500 nm spectral region"

description: Data supports article "Supercontinuum generation in tantalum pentoxide waveguides for pump wavelengths in the 900 nm to 1500 nm spectral region" by Jonathan R. C. Woods, Jake Daykin, Amy S. K. Tong, Cosimo Lacava, Periklis Petropoulos, Anne C. Tropper, Peter Horak, James S. Wilkinson, and Vasilis Apostolopoulos in Optics Express, OSA, 10.1364/OE.403089. Includes data and instructions for the recreation of figures included in the above publication.
DOI: 10.6084/m9.figshare.13122137
title: SNPs

description: All SNPs called across waterworks for each population.
DOI: 10.6084/m9.figshare.13122137.v1
title: SNPs

description: All SNPs called across waterworks for each population.
DOI: 10.6084/m9.figshare.13122143
title: Linkage statistics

description: Linkage statistics for each pair of SNPs for each population across waterworks
DOI: 10.6084/m9.figshare.13122143.v1
title: Linkage statistics

description: Linkage statistics for each pair of SNPs for each population across waterworks
DOI: 10.6084/m9.figshare.13122155
title: Nucleotide diversity

description: Per gene nucleotide diversity across the waterworks for each population.
DOI: 10.6084/m9.figshare.13122167
title: Fst

description: Per gene Fst values for each gene for each population across all possible comparisons.
DOI: 10.6084/m9.figshare.13122167.v1
title: Fst

description: Per gene Fst values for each gene for each population across all possible comparisons.
DOI: 10.5281/zenodo.4114577
title: HEART - Bagnolo in Piano monitoring dataset, Reggio Emilia – Italy

description: This datapackage provides the dataset used for the first stage of the validation of the simulations and the analysis of the main variables collected by the monitoring system of the HEART project. At this stage (M32), the building refurbishment of the Italian case study in Bagnolo in Piano (Reggio Emilia) is not completed due to the COVID-19 lockdown; the window renovation has been done in September 2019 and in February 2020 the refurbishment works stopped. Therefore, the content of dataset at the moment is only on the first step of the building refurbishment. The dataset contains: the main climatic variables in the area the central heating monitored data the main monitorwd data for 5 refurbished appartments <br> The building is located in the city of Bagnolo in Piano (Reggio Emilia, Italy), and it is oriented 21 degrees towards south west (44.7698536, 10.6768598 at 30 m of altitude.). It is a four-story building, having a total of 12 apartments (4 apartments per floor); cellars and parking area are located on the ground floor. The gross floor area for the conditioned zone is 245.78 [m2] (apartment plus external walls), for a total conditioned area of 737.34 [m2] for the entire building. Further information are available in the repository:
description: Data set repository: https://gitlab.inf.unibz.it/URS/heart/bagnolo-dataset
DOI: 10.5281/zenodo.4114422
title: Simulations of a beta-2 adrenergic receptor monomer on a flat membrane

description: A B2AR monomer in a bilayer, two replicas
DOI: 10.5281/zenodo.4114421
title: Simulations of a beta-2 adrenergic receptor monomer on a flat membrane

description: A B2AR monomer in a bilayer, two replicas
DOI: 10.5519/qd.yi019zu9
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (677 records)
DOI: 10.6084/m9.figshare.12689705
title: the database of two experiments

description: The database is used for the manuscript entitled "Who will influence memories of listeners: Evidence from socially shared retrieval-induced forgetting”.
DOI: 10.6084/m9.figshare.12689705.v2
title: the database of two experiments

description: The database is used for the manuscript entitled "Who will influence memories of listeners: Evidence from socially shared retrieval-induced forgetting”.
DOI: 10.6084/m9.figshare.12689705.v1
title: database of two experiments

description: The database of the manuscript entitled "Who will influence memories of listeners: Evidence from socially shared retrieval-induced forgetting”.
DOI: 10.5281/zenodo.4114615
title: HEART - Bagnolo in Piano monitoring dataset, Reggio Emilia – Italy

description: This datapackage provides the dataset used for the first stage of the validation of the simulations and the analysis of the main variables collected by the monitoring system of the HEART project. At this stage (M32), the building refurbishment of the Italian case study in Bagnolo in Piano (Reggio Emilia) is not completed due to the COVID-19 lockdown; the window renovation has been done in September 2019 and in February 2020 the refurbishment works stopped. Therefore, the content of dataset at the moment is only on the first step of the building refurbishment. The dataset contains: the main climatic variables in the area the central heating monitored data the main monitorwd data for 5 refurbished appartments <br> The building is located in the city of Bagnolo in Piano (Reggio Emilia, Italy), and it is oriented 21 degrees towards south west (44.7698536, 10.6768598 at 30 m of altitude.). It is a four-story building, having a total of 12 apartments (4 apartments per floor); cellars and parking area are located on the ground floor. The gross floor area for the conditioned zone is 245.78 [m2] (apartment plus external walls), for a total conditioned area of 737.34 [m2] for the entire building. Further information are available in the repository:
description: Data set repository: https://gitlab.inf.unibz.it/URS/heart/bagnolo-dataset
DOI: 10.5281/zenodo.4081133
title: HEART - Bagnolo in Piano monitoring dataset, Reggio Emilia – Italy

description: This datapackage provides the dataset used for the first stage of the validation of the simulations and the analysis of the main variables collected by the monitoring system of the HEART project. At this stage (M32), the building refurbishment of the Italian case study in Bagnolo in Piano (Reggio Emilia) is not completed due to the COVID-19 lockdown; the window renovation has been done in September 2019 and in February 2020 the refurbishment works stopped. Therefore, the content of dataset at the moment is only on the first step of the building refurbishment. The dataset contains: the main climatic variables in the area the central heating monitored data the main monitorwd data for 5 refurbished appartments <br> The building is located in the city of Bagnolo in Piano (Reggio Emilia, Italy), and it is oriented 21 degrees towards south west (44.7698536, 10.6768598 at 30 m of altitude.). It is a four-story building, having a total of 12 apartments (4 apartments per floor); cellars and parking area are located on the ground floor. The gross floor area for the conditioned zone is 245.78 [m2] (apartment plus external walls), for a total conditioned area of 737.34 [m2] for the entire building. Further information are available in the repository:
description: Data set repository: https://gitlab.inf.unibz.it/URS/heart/bagnolo-dataset
DOI: 10.5281/zenodo.4109203
title: Sustainability challenges and collaboration in the global clothing industry

description: This dataset contains a social network of collaborative relationships among organizations working to address sustainability challenges in the global clothing industry. The dataset consists of a square matrix containing 1,455 undirected ties among 455 organizations, and a list of organizational attributes. Attribute information includes: 1) the type of organization – keystone actor, clothing company, retailer, manufacturer, trade association, multi-stakeholder platform, NGO, scientific research organization, government institution, and other; and 2) the sustainability challenges addressed by each organization – hazardous chemicals, waste reduction, energy consumption, air emissions, land use, recycling, wastewater, water conservation, and socioeconomic wellbeing. The data were gathered from corporate sustainability reports and related information found on the organizations’ websites.
DOI: 10.5281/zenodo.4109202
title: Sustainability challenges and collaboration in the global clothing industry

description: This dataset contains a social network of collaborative relationships among organizations working to address sustainability challenges in the global clothing industry. The dataset consists of a square matrix containing 1,455 undirected ties among 455 organizations, and a list of organizational attributes. Attribute information includes: 1) the type of organization – keystone actor, clothing company, retailer, manufacturer, trade association, multi-stakeholder platform, NGO, scientific research organization, government institution, and other; and 2) the sustainability challenges addressed by each organization – hazardous chemicals, waste reduction, energy consumption, air emissions, land use, recycling, wastewater, water conservation, and socioeconomic wellbeing. The data were gathered from corporate sustainability reports and related information found on the organizations’ websites.
DOI: 10.5281/zenodo.4027895
title: Model-Based Testing for Performance Requirements Dataset

description: Ths is a dataset for the paper Model-Based Testing for Performance Requirements.
DOI: 10.6084/m9.figshare.12475865
title: Data and Code for "Particle collisions control stable bed configuration under weak bedload transport conditions"

description: Data and code related to the manuscript titled "Particle collisions control stable bed configuration under weak bedload transport conditions" (Ashley et al., submitted to JGR:ES).<br>The simplest way to view the workflow is to download "make_figs.html" and open in a browser.
DOI: 10.6084/m9.figshare.12475865.v2
title: Data and Code for "Particle collisions control stable bed configuration under weak bedload transport conditions"

description: Data and code related to the manuscript titled "Particle collisions control stable bed configuration under weak bedload transport conditions" (Ashley et al., submitted to JGR:ES).<br>The simplest way to view the workflow is to download "make_figs.html" and open in a browser.
DOI: 10.6084/m9.figshare.12475865.v1
title: Data and Code for "Particle collisions control stable bed configuration under weak bedload transport conditions"

description: Data and code related to the manuscript titled "Particle collisions control stable bed configuration under weak bedload transport conditions" (Ashley et al., submitted to JGR:ES).<br>The simplest way to view the workflow is to download "make_figs.html" and open in a browser.
DOI: 10.5517/ccdc.csd.ccyyj6l
title: CCDC 892310: Experimental Crystal Structure Determination

description: Related Article: Bo Zhai, Julie Clark, Taotao Ling, Michele Connelly, Fabricio Medina-Bolivar, Fatima Rivas|2014|Molecules Online|18|756|doi:10.3390/molecules19010756
DOI: 10.5517/ccdc.csd.cc1njh3s
title: CCDC 1535185: Experimental Crystal Structure Determination

description: Related Article: Chengzhang Liu, Jinzhang Jiang, Jiahe Li, Xing Liang, Yanling Zhou, Hailan Chen, Zhen Ma|2020|Polyhedron|182|114465|doi:10.1016/j.poly.2020.114465
DOI: 10.5517/ccdc.csd.cc21gny4
title: CCDC 1890936: Experimental Crystal Structure Determination

description: Related Article: Wilhelm Maximilian Hützler, Estelle Mossou, Ronnald Vollrath, Miriam Kohagen, Imadine El Ghrissi, Martin Grininger, Giuseppe Zaccai, Jens Smiatek, Dieter Oesterhelt|2020|CrystEngComm|22|169|doi:10.1039/C9CE01599J
DOI: 10.5517/ccdc.csd.cc21h4pd
title: CCDC 1891393: Experimental Crystal Structure Determination

description: Related Article: Arvind Kumar Gupta, Andreas Orthaber|2019|Inorg.Chem.|58|16236|doi:10.1021/acs.inorgchem.9b02770
DOI: 10.5517/ccdc.csd.cc21h4xm
title: CCDC 1891400: Experimental Crystal Structure Determination

description: Related Article: Arvind Kumar Gupta, Andreas Orthaber|2019|Inorg.Chem.|58|16236|doi:10.1021/acs.inorgchem.9b02770
DOI: 10.5517/ccdc.csd.cc227rlp
title: CCDC 1914082: Experimental Crystal Structure Determination

description: Related Article: Wei-Ming Liao, Xiang-Nan Li, Qi Zeng, Yuan-Hui Zhong, Ye-Gao Yin, Jun He|2019|J.Mater.Chem.C|7|15136|doi:10.1039/C9TC05996B
DOI: 10.5517/ccdc.csd.cc22g3th
title: CCDC 1920196: Experimental Crystal Structure Determination

description: Related Article: Yu Ye, Jianfeng Du, Libo Sun, Yuchuan Liu, Shun Wang, Xiaowei Song, Zhiqiang Liang|2020|Dalton Trans.|49|1135|doi:10.1039/C9DT04305E
description: Related Article: Yu Ye, Jianfeng Du, Libo Sun, Yuchuan Liu, Shun Wang, Xiaowei Song, Zhiqiang Liang|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc22jdqr
title: CCDC 1922394: Experimental Crystal Structure Determination

description: Related Article: Wasinee Phonsri, Barnaby A. I. Lewis, Guy N. L. Jameson, Keith S. Murray|2019|Chem.Commun.|55|14031|doi:10.1039/C9CC07416C
DOI: 10.5517/ccdc.csd.cc21t6tx
title: CCDC 1901069: Experimental Crystal Structure Determination

description: Related Article: Tomohiro Seki, Kentaro Ida, Hiroyasu Sato, Shinji Aono, Shigeyoshi Sakaki, Hajime Ito|2020|Chem.-Eur.J.|26|735|doi:10.1002/chem.201904597
DOI: 10.5517/ccdc.csd.cc21t6vy
title: CCDC 1901070: Experimental Crystal Structure Determination

description: Related Article: Tomohiro Seki, Kentaro Ida, Hiroyasu Sato, Shinji Aono, Shigeyoshi Sakaki, Hajime Ito|2020|Chem.-Eur.J.|26|735|doi:10.1002/chem.201904597
DOI: 10.5517/ccdc.csd.cc21t6wz
title: CCDC 1901071: Experimental Crystal Structure Determination

description: Related Article: Tomohiro Seki, Kentaro Ida, Hiroyasu Sato, Shinji Aono, Shigeyoshi Sakaki, Hajime Ito|2020|Chem.-Eur.J.|26|735|doi:10.1002/chem.201904597
DOI: 10.5517/ccdc.csd.cc21t7lq
title: CCDC 1901093: Experimental Crystal Structure Determination

description: Related Article: Tomohiro Seki, Kentaro Ida, Hiroyasu Sato, Shinji Aono, Shigeyoshi Sakaki, Hajime Ito|2020|Chem.-Eur.J.|26|735|doi:10.1002/chem.201904597
DOI: 10.5517/ccdc.csd.cc21t7ns
title: CCDC 1901095: Experimental Crystal Structure Determination

description: Related Article: Tomohiro Seki, Kentaro Ida, Hiroyasu Sato, Shinji Aono, Shigeyoshi Sakaki, Hajime Ito|2020|Chem.-Eur.J.|26|735|doi:10.1002/chem.201904597
DOI: 10.5517/ccdc.csd.cc232zqx
title: CCDC 1939289: Experimental Crystal Structure Determination

description: Related Article: Jonas Bresien, Liesa Eickhoff, Axel Schulz, Tim Suhrbier, Alexander Villinger|2019|Chem.-Eur.J.|25|16311|doi:10.1002/chem.201903410
DOI: 10.5517/ccdc.csd.cc233npl
title: CCDC 1939939: Experimental Crystal Structure Determination

description: Related Article: Mirosław Mączka, Anna Gągor, Maciej Ptak, Dagmara Stefańska, Lucyna Macalik, Adam Pikul, Adam Sieradzki|2019|Dalton Trans.|48|13006|doi:10.1039/C9DT02924A
DOI: 10.5281/zenodo.4091491
title: Irrevocable Commitments dataset

description: Fyrqvist-Rantapuska-Torstila Irrevocable Commitments dataset This data contains data on irrevocable commitments in U.K. tender offers from 1985 to 2016. For data from 1/1/2001 to 10/18/2016, we independently hand-collect the data from FE InvestEgate (http://www.investegate.co.uk/). FE InvestEgate data originates from the Regulatory News Service of London Stock Exchange. For data from 1/1/1985 to 12/31/2000, we collect the data with the help of Thomson Reuters. A team from Thomson Reuters hand-collected the data from prospectuses and other sources through an iterative process with one of the authors highlighting potential errors at each round. The final data was verified by performing random cross-checks with FE InvestEgate. For a subset of 35 deals the data is collected using London Stock Exchange, news, and company websites.
DOI: 10.5281/zenodo.4091490
title: Irrevocable Commitments dataset

description: Fyrqvist-Rantapuska-Torstila Irrevocable Commitments dataset This data contains data on irrevocable commitments in U.K. tender offers from 1985 to 2016. For data from 1/1/2001 to 10/18/2016, we independently hand-collect the data from FE InvestEgate (http://www.investegate.co.uk/). FE InvestEgate data originates from the Regulatory News Service of London Stock Exchange. For data from 1/1/1985 to 12/31/2000, we collect the data with the help of Thomson Reuters. A team from Thomson Reuters hand-collected the data from prospectuses and other sources through an iterative process with one of the authors highlighting potential errors at each round. The final data was verified by performing random cross-checks with FE InvestEgate. For a subset of 35 deals the data is collected using London Stock Exchange, news, and company websites.
DOI: 10.5281/zenodo.4114641
title: Simulations of an F-BAR domain on a flat membrane

description: F-BAR domain on a flat membrane, 2 replicas
DOI: 10.5281/zenodo.4114640
title: Simulations of an F-BAR domain on a flat membrane

description: F-BAR domain on a flat membrane, 2 replicas
DOI: 10.17632/zr9kwy979w.1
title: Data for: Sparse representation of parametric dictionary based on fault impulse matching for wheelset bearing fault diagnosis

description: The data is the outer and inner race fault vibration data of wheelset bearings, the detail information about it can be found in the paper.
DOI: 10.21335/nmdc-nersc-1741962272
title: Optical property measurements collected in Storfjorden, Svalbard, during the UAK 2020 Cruise

description: Data collected with LISST-VSF in Storfjorden, Svalbard, during the UAK 2020 Research School with KV Svalbard.
DOI: 10.34857/0092858
title: Updated assessment of potential biopesticide options for managing fall armyworm (Spodoptera frugiperda) in Africa

description: The fall armyworm (FAW, _Spodoptera frugiperda_) has recently spread to many countries in Africa, the Near East, Asia and the Pacific. Many farmers have responded to FAW by increasing their use of synthetic pesticides, but these are not always used safely or effectively. \r\n\r\nFurther information on sustainable alternatives to high risk synthetic pesticides is needed to inform decisions by farmers and policy makers. In a [previous paper](https://onlinelibrary.wiley.com/doi/full/10.1111/jen.12565) the authors responded to this information need by identifying fifty biopesticides which had been registered for FAW management in one or more of 30 countries in FAWs native region and Africa. For each biopesticide identified, detailed profiles were developed which covered their efficacy against FAW; associated human health and environmental hazards; their agronomic sustainability; and whether or not they are practical for use by smallholder farmers. \r\n\r\nThis dataset comes from an update to this study (near print), where the authors assessed the current state of knowledge and documented how information gaps have been filled (or not) since the previous paper was published. The authors found that for many biopesticides there is a growing body of information on their efficacy in the field in Africa and increased availability of commercialised products. We also note remaining information gaps, particularly the compatibility of the biopesticides with other recommended management practices, and cost-benefit analyses, important for developing and implementing sustainable IPM. An updated list of priority biopesticides for research, development and promotion is provided.
DOI: 10.21227/x3ca-p335
title: First attempt

description: First attempt
DOI: 10.5281/zenodo.3245309
title: Human Stromal Antigen 1 (STAG1) Cohesin Subunit SA-1; A Target Enabling Package

description: Loss of function mutations in the cohesin subunit gene STAG2 are common in a variety of cancers (1). These cells become dependent on the paralogous cohesin subunit STAG1 (2-4). Mutants of STAG1 that disrupt the binding to the cohesin subunit RAD21 cannot complement the loss of STAG2. This TEP examines the druggability of STAG1 as a synthetic lethal strategy to treat <em>stag2<sup>-</sup></em> cancers. The TEP includes crystal structures of two domains of STAG1, alone and in complex with Rad21-rderived peptides. We performed screens of a fragment library and identified small molecules bound to pockets in the two domains of STAG1. We also developed assays for binding of RAD21 peptides to STAG1, which can be used to screen for molecules that disrupt binding.
description: Future versions of this document will contain experimental data about the ALAS2 TEP.
DOI: 10.5519/qd.5u7wftrd
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1116 records)
DOI: 10.6084/m9.figshare.13122470
title: Music Listening Data

description: Questionnaire administered to adults (aged 16+) assessing why they listen to music, and whether they use music to cope before and during the COVID-19 lockdown in the UK.