cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc24tdv7
title: CCDC 1990629: Experimental Crystal Structure Determination

description: Related Article: Jui Hsieh, Ju-Ying Chen, Han-Ying Li, Hsin-Kuan Liu, Hsiung-Lin Tu, Chih-Min Wang|2020|Dalton Trans.|49|11085|doi:10.1039/D0DT02270E
DOI: 10.25387/g3.12816593
title: Supplemental Material for Fountain et al., 2020

description: Supplemental Figures and Supplemental Tables
DOI: 10.25387/g3.12816593.v1
title: Supplemental Material for Fountain et al., 2020

description: Supplemental Figures and Supplemental Tables
DOI: 10.6073/pasta/56cec51bd4cb33c7ade08afeb92d9fd8
title: Phenologies of the Tabonuco Forest trees and shrubs

description: These data are being used to, among other things, (1) determine the seasonality of flowering and fruiting in Tabonuco forest and test hypotheses concerning the causation of seasonality (or lack thereof), (2) test the effect of annual variation in rainfall and other climatic variables on seed and fruit production of individual species, and (3) compare the relative dispersal of species on the Luquillo Forest Dynamics Plot by applying information on the spatial distribution of canopy trees to the data on seed and fruit fall. These data also serve as background information on the flowering and fruiting of individual species.
DOI: 10.34740/kaggle/dsv/1428693
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5517/ccdc.csd.cc24rzlh
title: CCDC 1989257: Experimental Crystal Structure Determination

description: Related Article: De-Hui Tuo, Chao Chen, Huapeng Ruan, Qi-Qiang Wang, Yu-Fei Ao, Xinping Wang, De-Xian Wang|2020|Angew.Chem.,Int.Ed.|59|14040|doi:10.1002/anie.202003927
DOI: 10.5517/ccdc.csd.cc24rzmj
title: CCDC 1989258: Experimental Crystal Structure Determination

description: Related Article: De-Hui Tuo, Chao Chen, Huapeng Ruan, Qi-Qiang Wang, Yu-Fei Ao, Xinping Wang, De-Xian Wang|2020|Angew.Chem.,Int.Ed.|59|14040|doi:10.1002/anie.202003927
DOI: 10.5517/ccdc.csd.cc24rznk
title: CCDC 1989259: Experimental Crystal Structure Determination

description: Related Article: De-Hui Tuo, Chao Chen, Huapeng Ruan, Qi-Qiang Wang, Yu-Fei Ao, Xinping Wang, De-Xian Wang|2020|Angew.Chem.,Int.Ed.|59|14040|doi:10.1002/anie.202003927
DOI: 10.5517/ccdc.csd.cc24tl8v
title: CCDC 1990797: Experimental Crystal Structure Determination

description: Related Article: Dibbendu Ghosh,  Soumen Sinhababu,  Bernard D. Santarsiero,  Neal P. Mankad|2020|J.Am.Chem.Soc.|142|12635|doi:10.1021/jacs.0c03343
DOI: 10.5517/ccdc.csd.cc24tl9w
title: CCDC 1990798: Experimental Crystal Structure Determination

description: Related Article: Dibbendu Ghosh,  Soumen Sinhababu,  Bernard D. Santarsiero,  Neal P. Mankad|2020|J.Am.Chem.Soc.|142|12635|doi:10.1021/jacs.0c03343
DOI: 10.17632/kfdfv9tmxg.5
title: Data for: Dynamic capital structure under changing market conditions in the oil industry: An empirical investigation

description: Data correspond to variables constructed for analyzing capital structure models within the oil industry. Raw data were retrieved from DataStream.
DOI: 10.17632/kfdfv9tmxg.6
title: Data for: Dynamic capital structure under changing market conditions in the oil industry: An empirical investigation

description: Data correspond to variables constructed for analyzing capital structure models within the oil industry. Raw data were retrieved from DataStream.
DOI: 10.21949/1519230
title: CV Pilot NYC dataset
DOI: 10.21949/1519231
title: CV Pilot WYDOT Basic Safety Message (BSM) dataset
DOI: 10.21949/1519232
title: WAZE Connected Citizens Program dataset
DOI: 10.21949/1519233
title: CV Pilot WYDOT Processed Speed dataset
DOI: 10.21949/1519234
title: CV Pilot WYDOT Baseline Workzone dataset
DOI: 10.21949/1519236
title: CV Pilot WYDOT PikAlert/road condition report data
DOI: 10.21949/1519237
title: CV Pilot WYDOT Traveler Information Message (TIM) dataset
DOI: 10.21949/1519238
title: Tampa CV Pilot Multi-Modal Intelligent Traffic Signal Systems (MMITSS) dataset
DOI: 10.21949/1519239
title: CV Pilot WYDOT RWIS Atmospheric sensor data
DOI: 10.21949/1519240
title: CV Pilot WYDOT Unprocessed Speed dataset
DOI: 10.21949/1519241
title: Tampa CV Pilot Traveler Information Message (TIM) dataset
DOI: 10.21949/1519242
title: CV Pilot WYDOT RWIS Variable Speed Limit (VSL) data
DOI: 10.21949/1519243
title: CV Pilot WYDOT Dynamic message sign daily archive
DOI: 10.21949/1519244
title: Tampa CV Pilot Basic Safety Message (BSM) dataset
DOI: 10.21949/1519245
title: Tampa CV Pilot Signal Phasing and Timing (SPAT) Message dataset
DOI: 10.24431/rw1k46n
title: Stable carbon isotope, inorganic carbon, and brassicasterol data from sea ice and open water particulate matter, sediments, and benthic consumers in the Arctic, Chukchi, and Beaufort seas, 2014

description: This data set contains stable carbon isotope values of dissolved inorganic carbon from pore water in sea ice, as well as IP25 and brassicasterol data, from sea ice and open water particulate organic matter, sediments, and benthic consumers in the Arctic, Chukchi, and Beaufort seas. We quantified the sea ice algal biomarker IP25 and the phytoplankton biomarker brassicasterol in ice-associated particulate organic matter (iPOM), open water particulate organic matter (pPOM), surface sediments, and various benthic invertebrates to determine the fate of iPOM in the Chukchi and Beaufort seas. All samples were collected July - August 2012, October - November 2013, and May - June in 2014.
DOI: 10.5281/zenodo.3989261
title: Input data for post-TB analysis

description: Input data for a post-TB analysis. See https://github.com/petedodd/post
DOI: 10.5281/zenodo.3989260
title: Input data for post-TB analysis

description: Input data for a post-TB analysis. See https://github.com/petedodd/post
DOI: 10.13012/b2idb-9374105_v1
title: Expert-based measures of human impact to vegetation- Bibliographic analysis

description: These are text files downloaded from the Web of Science for the bibliographic analyses found in Zinnen et al. (2020) in Applied Vegetation Science. They represent the papers and reference lists from six expert-based indicator systems: Floristic Quality Assessment, hemeroby, naturalness indicator values (& social behaviors), Ellenberg indicator values, grassland utilization values, and urbanity indicator values. To examine data, download VOSviewer and see instructrions from van Eck & Waltman (2019) for how to upload data. Although we used bibliographic coupling, there are a number of other interesting bibliographic analyses you can use with these data (e.g., visualizing citations between journals from this set of documents). Note: There are two caveats to note about these data and Supplements 1 & 2 associated with our paper. First, there are some overlapping papers in these text files (i.e., raw data). When added individually, the papers sum to more than the numbers we give. However, when combined VOSviewer recognizes these as repeats, and matches the numbers we list in S1 and the manuscript. Second, we labelled the downloaded papers in S2 with their respective systems. In some cases, the labels do not completely match our counts listed in S1 and raw data. This is because some of these papers use another system, but were not captured in our systematic literature search (e.g., a paper may have used hemeroby, but was not picked up by WoS, so this paper is not listed as one of the 52 hemeroby papers).
DOI: 10.21949/1519235
title: CV Pilot WYDOT Driver Alert dataset
DOI: 10.25318/1310077701-fra
title: Nombre et pourcentage d'adultes (âgés de 18 ans et plus) de la population à domicile ayant des problèmes de santé sous-jacents, par âge et sexe (période de deux ans)

description: Ce tableau décrit la proportion de la population ayant des problèmes de santé sous-jacents qui semblent augmenter le risque de conséquences négatives après infection par la COVID-19, dont l'hospitalisation et le décès. Les estimations, fournies pour la population adulte canadienne (18 ans et plus) par sexe, âge et région de résidence, proviennent des données de l'Enquête sur la santé dans les collectivités canadiennes de 2017-2018.
DOI: 10.25318/1310077801-eng
title: Number and percentage of adults (aged 18 years and older) in the household population with at least one underlying health condition, by sex and other characteristics (two-year period)

description: This table describes the proportion of the population with one or more underlying health conditions that are believed to increase the risk of negative outcomes following COVID-19 infection, including hospitalization and death. Estimates are based on data from the 2017-2018 Canadian Community Health Survey, and are provided for the Canadian adult (age 18 and older) population by select demographic and socio-economic characteristics at the national and provincial/territorial level.
DOI: 10.25318/1310077801-fra
title: Nombre et pourcentage d'adultes (âgés de 18 ans et plus) de la population à domicile ayant au moins un problème de santé sous-jacent, par sexe et autres caractéristiques (période de deux ans)

description: Ce tableau décrit la proportion de la population ayant un ou plusieurs problèmes de santé sous-jacents qui semblent augmenter le risque de conséquences négatives après infection par la COVID-19, dont l'hospitalisation et le décès. Les estimations, fournies pour la population adulte canadienne (18 ans et plus) selon certaines caractéristiques démographiques et socio-économiques aux échelons national, territorial/provincial, proviennent des données de l'Enquête sur la santé dans les collectivités canadiennes de 2017-2018.
DOI: 10.5517/ccdc.csd.cc23dfvt
title: CCDC 1948376: Experimental Crystal Structure Determination

description: Related Article: Kosuke Higashida, Fabian Brüning, Nagataka Tsujimoto, Kenya Higashihara, Haruki Nagae, Antonio Togni, Kazushi Mashima|2020|Chem.-Eur.J.|26|8749|doi:10.1002/chem.202000542
DOI: 10.5517/ccdc.csd.cc2436cv
title: CCDC 1969286: Experimental Crystal Structure Determination

description: Related Article: Adil Alkaş, Laurine E. S. Friche, Shikeale N. Harris, Shane G. Telfer|2020|Chem.-Eur.J.|26|10321|doi:10.1002/chem.202001466
DOI: 10.5517/ccdc.csd.cc243bn8
title: CCDC 1969419: Experimental Crystal Structure Determination

description: Related Article: Adil Alkaş, Laurine E. S. Friche, Shikeale N. Harris, Shane G. Telfer|2020|Chem.-Eur.J.|26|10321|doi:10.1002/chem.202001466
DOI: 10.5517/ccdc.csd.cc2436fx
title: CCDC 1969288: Experimental Crystal Structure Determination

description: Related Article: Adil Alkaş, Laurine E. S. Friche, Shikeale N. Harris, Shane G. Telfer|2020|Chem.-Eur.J.|26|10321|doi:10.1002/chem.202001466
DOI: 10.25318/1310078501-eng
title: Selected grouped causes of death, by month

description: This table provides Canadians and researchers with provisional data to monitor monthly death trends by selected grouped causes of death in Canada. Given the delays in receiving the data from the provincial and territorial vital statistics offices, these data are considered provisional. Data in this table will be available by province and territory.
DOI: 10.5517/ccdc.csd.cc24pb17
title: CCDC 1986698: Experimental Crystal Structure Determination

description: Related Article: Edi Topić, Ivana Landripet, Maëlle Duguin, Jana Pisk, Ivica Đilović, Višnja Vrdoljak, Mirta Rubčić|2020|New J.Chem.|44|13357|doi:10.1039/D0NJ03106B
DOI: 10.5517/ccdc.csd.cc24pb28
title: CCDC 1986699: Experimental Crystal Structure Determination

description: Related Article: Edi Topić, Ivana Landripet, Maëlle Duguin, Jana Pisk, Ivica Đilović, Višnja Vrdoljak, Mirta Rubčić|2020|New J.Chem.|44|13357|doi:10.1039/D0NJ03106B
DOI: 10.5517/ccdc.csd.cc24pb39
title: CCDC 1986700: Experimental Crystal Structure Determination

description: Related Article: Edi Topić, Ivana Landripet, Maëlle Duguin, Jana Pisk, Ivica Đilović, Višnja Vrdoljak, Mirta Rubčić|2020|New J.Chem.|44|13357|doi:10.1039/D0NJ03106B
DOI: 10.5517/ccdc.csd.cc24pb4b
title: CCDC 1986701: Experimental Crystal Structure Determination

description: Related Article: Edi Topić, Ivana Landripet, Maëlle Duguin, Jana Pisk, Ivica Đilović, Višnja Vrdoljak, Mirta Rubčić|2020|New J.Chem.|44|13357|doi:10.1039/D0NJ03106B
DOI: 10.5517/ccdc.csd.cc24pb5c
title: CCDC 1986702: Experimental Crystal Structure Determination

description: Related Article: Edi Topić, Ivana Landripet, Maëlle Duguin, Jana Pisk, Ivica Đilović, Višnja Vrdoljak, Mirta Rubčić|2020|New J.Chem.|44|13357|doi:10.1039/D0NJ03106B
DOI: 10.5517/ccdc.csd.cc24pb6d
title: CCDC 1986703: Experimental Crystal Structure Determination

description: Related Article: Edi Topić, Ivana Landripet, Maëlle Duguin, Jana Pisk, Ivica Đilović, Višnja Vrdoljak, Mirta Rubčić|2020|New J.Chem.|44|13357|doi:10.1039/D0NJ03106B
DOI: 10.5517/ccdc.csd.cc24pb7f
title: CCDC 1986704: Experimental Crystal Structure Determination

description: Related Article: Edi Topić, Ivana Landripet, Maëlle Duguin, Jana Pisk, Ivica Đilović, Višnja Vrdoljak, Mirta Rubčić|2020|New J.Chem.|44|13357|doi:10.1039/D0NJ03106B
DOI: 10.5517/ccdc.csd.cc24vgt9
title: CCDC 1991651: Experimental Crystal Structure Determination

description: Related Article: Henning Lumpe, Annika Menke, Christoph Haisch, Peter Mayer, Anke Kabelitz, Kirill V. Yusenko, Ana Guilherme Buzanich, Theresa Block, Rainer Pöttgen, Franziska Emmerling, Lena J. Daumann|2020|Chem.-Eur.J.|26|10133|doi:10.1002/chem.202002653
DOI: 10.5517/ccdc.csd.cc25262k
title: CCDC 1998107: Experimental Crystal Structure Determination

description: Related Article: Rahul Kisan Kawade, Chaowei Hu, Nikolas R. Dos Santos, Noelle Watson, Xinsong Lin, Kenneth Hanson, Igor V. Alabugin|2020|Angew.Chem.,Int.Ed.|59|14352|doi:10.1002/anie.202006087
DOI: 10.5517/ccdc.csd.cc25263l
title: CCDC 1998108: Experimental Crystal Structure Determination

description: Related Article: Rahul Kisan Kawade, Chaowei Hu, Nikolas R. Dos Santos, Noelle Watson, Xinsong Lin, Kenneth Hanson, Igor V. Alabugin|2020|Angew.Chem.,Int.Ed.|59|14352|doi:10.1002/anie.202006087
DOI: 10.5517/ccdc.csd.cc25264m
title: CCDC 1998109: Experimental Crystal Structure Determination

description: Related Article: Rahul Kisan Kawade, Chaowei Hu, Nikolas R. Dos Santos, Noelle Watson, Xinsong Lin, Kenneth Hanson, Igor V. Alabugin|2020|Angew.Chem.,Int.Ed.|59|14352|doi:10.1002/anie.202006087
DOI: 10.5517/ccdc.csd.cc25265n
title: CCDC 1998110: Experimental Crystal Structure Determination

description: Related Article: Rahul Kisan Kawade, Chaowei Hu, Nikolas R. Dos Santos, Noelle Watson, Xinsong Lin, Kenneth Hanson, Igor V. Alabugin|2020|Angew.Chem.,Int.Ed.|59|14352|doi:10.1002/anie.202006087
DOI: 10.25318/1310078501-fra
title: Certains groupes de causes de décès, selon le mois

description: Ce tableau fournit aux Canadiens et aux chercheurs des données provisoires pour surveiller les tendances de décès mensuelles selon certains groupes de causes de décès au Canada. Étant donné les retards supplémentaires pour la réception des données provenant des bureaux des statistiques de l'état civil, ces données sont considérées comme provisoires. Les données affichées dans ce tableau seront disponibles par province ou territoire.
DOI: 10.17632/8z3smmw63p.1
title: Uppsala University Pressurized water reactor spent nuclear fuel data library

description: The data is extracted from burnup and depletion calculations with the Serpent2 code. The simulations were done with a 2D PWR fuel pin cell geometry, for both initial UO2 and MOX fuel load for a wide range of initial enrichments (IE) or initial plutonium content (IPC), discharge burnup (BU) and cooling time (CT). The fuel library contains the atomic density of 279 nuclides (fission products and actinides), the total spontaneous fission rate, total photon emission rate, activity and decay heat at 789,406 different BU, CT, IE configurations for UO2 fuel and at 531,991 different BU, CT, IPC configurations for MOX fuel. The fuel library is organized in a comma separated value file, thus its further analysis is possible and simple. The file has 288 columns and 1,321,397 rows in addition to the header row. The first column contains an index, the next 8 columns are: - 'BU' (Discharge burnup value in MWd/kgU) - 'CT' (Cooling time in days) - 'IE' (Initial enrichment for UO2 and initial plutonium content (%(Pu + Am) / Heavy metal) for MOX) - 'fuelType' (Description of the fuel type. Takes the value of ‘UOX’ or ‘MOX’ for UO2 and MOX fuel, respectively.) - 'TOT_SF' (Spontaneous fission rate in fissions per second on a per axial length basis) - 'TOT_GSRC' (Photon emission rate in photons per second on a per axial length basis) - 'TOT_A' (Activity in Becquerels on a per axial length basis) - 'TOT_H' (Decay heat in Watts on a per axial length basis) The next 279 columns contain atomic densities in [1E24/cm3] units for 279 different nuclides, each named with their respective chemical element symbol and the mass number concatenated (eg. Cs137 for Cesium-137). When applicable the metastable state is highlighted with “m” at the end of the string.
DOI: 10.5281/zenodo.1467617
title: Implementing Traceability Repositories as Graph Databases for Software Quality Improvement: Datasets used to test our methodology that is presented in the paper 10.1109/QRS.2018.00040

description: The first dataset is the Event Based Traceability for Managing Evolutionary Change (EBT), it is a public dataset provided by CoEST, the original artifacts and trace links are represented in XML and text format. From the EBT dataset, we selected the 41<em> requirements </em>and 25<em> test case </em>artifacts, in addition to the answer set of 51 trace links which relates the <em>requirements </em>with the<em> test case. </em>Artifacts and trace links are prepared in XML format<strong>. </strong>The data set contains XML for each artifact such as RQ.xml, EBTrelations.xml is the answer set file, TradModel.xml which describes the defined model and TradTraceabilityRule.xml that includes the rules applied for trace link types. The second dataset AgileOERP is collected from commercial management tool to customize an open source ERP applying agile methodology. It contains 350<em> user stories (US), </em>1323<em> tasks (TS) </em>and 198<em> developer test (DT) </em>artifacts, in addition to answer set of trace links that manually generated by developers which relates the <em>user story </em>artifact with<em> task (</em>1304) artifact, as such relates the <em>task </em>artifact with<em> developer test </em>artifact (65). Artifacts and trace links are prepared in XML format<strong>. </strong>The data set contains XML for each artifact such as US.xml, ERPrelations.xml is the answer set file, AgileModel.xml which describes the defined model and AgileTraceabilityRule,xml that includes all rules applied for trace links type The original dataset of the last dataset is the Aqualush irrigation system which is used as a case study in “C. Fox, Introduction to Software Engineering Design: Processes, Principles and Patterns with UML2. Addison-Wesley, 2006”. The trace links are generated and provided in “E. Ben Charrada, D. Caspar, C. Jeanneret, and M. Glinz, towards a benchmark for traceability, in Joint EVOL and IWPSE 2011, pp. 21-30”, in HTML format. For our work, we selected the <em>software requirements specification (</em>396 SRS), <em>user level requirements (</em>48 ULR), <em>use case (</em>74 UC), <em>detailed design (85 DD) </em>and <em>software architecture(15 SArch) </em>artifacts in addition to the answer set of trace links that relate the SRS with other artifacts(4038) and thus relates the DD artifact with other artifacts (1719) . Artifacts and trace links are prepared in XML<strong>. </strong>The data set contains XML for each artifact such as SRS.xml, AqualushRelations.xml is the answer set file, TradModel.xml which describes the defined model and TradTraceabilityRule.xml that includes the rules applied for trace link types.
DOI: 10.5281/zenodo.1467616
title: Implementing Traceability Repositories as Graph Databases for Software Quality Improvement: Datasets used to test our methodology that is presented in the paper 10.1109/QRS.2018.00040

description: The first dataset is the Event Based Traceability for Managing Evolutionary Change (EBT), it is a public dataset provided by CoEST, the original artifacts and trace links are represented in XML and text format. From the EBT dataset, we selected the 41<em> requirements </em>and 25<em> test case </em>artifacts, in addition to the answer set of 51 trace links which relates the <em>requirements </em>with the<em> test case. </em>Artifacts and trace links are prepared in XML format<strong>. </strong>The data set contains XML for each artifact such as RQ.xml, EBTrelations.xml is the answer set file, TradModel.xml which describes the defined model and TradTraceabilityRule.xml that includes the rules applied for trace link types. The second dataset AgileOERP is collected from commercial management tool to customize an open source ERP applying agile methodology. It contains 350<em> user stories (US), </em>1323<em> tasks (TS) </em>and 198<em> developer test (DT) </em>artifacts, in addition to answer set of trace links that manually generated by developers which relates the <em>user story </em>artifact with<em> task (</em>1304) artifact, as such relates the <em>task </em>artifact with<em> developer test </em>artifact (65). Artifacts and trace links are prepared in XML format<strong>. </strong>The data set contains XML for each artifact such as US.xml, ERPrelations.xml is the answer set file, AgileModel.xml which describes the defined model and AgileTraceabilityRule,xml that includes all rules applied for trace links type The original dataset of the last dataset is the Aqualush irrigation system which is used as a case study in “C. Fox, Introduction to Software Engineering Design: Processes, Principles and Patterns with UML2. Addison-Wesley, 2006”. The trace links are generated and provided in “E. Ben Charrada, D. Caspar, C. Jeanneret, and M. Glinz, towards a benchmark for traceability, in Joint EVOL and IWPSE 2011, pp. 21-30”, in HTML format. For our work, we selected the <em>software requirements specification (</em>396 SRS), <em>user level requirements (</em>48 ULR), <em>use case (</em>74 UC), <em>detailed design (85 DD) </em>and <em>software architecture(15 SArch) </em>artifacts in addition to the answer set of trace links that relate the SRS with other artifacts(4038) and thus relates the DD artifact with other artifacts (1719) . Artifacts and trace links are prepared in XML<strong>. </strong>The data set contains XML for each artifact such as SRS.xml, AqualushRelations.xml is the answer set file, TradModel.xml which describes the defined model and TradTraceabilityRule.xml that includes the rules applied for trace link types.
DOI: 10.25318/3310024701-fra
title: Pourcentage de l'effectif télétravaillant ou travaillant à distance, et pourcentage de l'effectif qui devrait continuer de télétravailler ou de travailler à distance après la pandémie, selon les caractéristiques de l'entreprise

description: Pourcentage de l'effectif qui faisait du télétravail ou qui travaillait à distance avant le 1er février 2020, en date du 29 mai 2020, pendant la pandémie de COVID-19, selon le code du Système de classification des industries de l'Amérique du Nord (SCIAN), l'effectif de l'entreprise, le type d'entreprise, activités commerciales et le propriétaire majoritaire.
DOI: 10.25318/3310024801-eng
title: Methods used to conduct sales or secure orders remotely before and during the COVID-19 pandemic, by business characteristics

description: Methods used to conduct sales or secure orders remotely prior to February 1, 2020, and on May 29, 2020, during the COVID-19 pandemic, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership.