cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7612697
title: Data set from Fischertechnik Smart Factory Model at University of St.Gallen (Custom Python Configuration)

description: This is about 60 mins worth of data collected from Fischertechnik Industry 9.0V smart factory model available at the University of St.Gallen. In this data set, we used a custom Python-based software stack to control the smart factory via a business process system (Camunda Platform) that calls the functionality of the smart factory via web services implemented in Python flask. MQTT is used to collect the data. Each entry in the file (low-level_log_20230206-140808.txt) corresponds to one message (as JSON object) received on a specific topic via MQTT. Each line contains all the readings of all the sensors, actuators and additional data from <strong>one </strong>CPS component (i.e., production station) at <strong>one </strong>point in time. The data set contains the following files low-level_log_20230206-140808.txt: low-level IoT data from all the sensors and actuators *.bpmn: executable BPMN 2.0 models of three different processes that have been executed several times via the Camunda Platform BPM system to control the smart factory camunda_process-instance.json: event log generated by the BPM system regarding the process instance execution camunda_activity-instance.json: event log generated by the BPM system regarding the activity instance execution Check the following publications to learn more about our research using the model factory: Malburg, L., Seiger, R., Bergmann, R., & Weber, B. (2020). Using physical factory simulation models for business process management research. In <em>Business Process Management Workshops: BPM 2020 International Workshops, Seville, Spain, September 13–18, 2020, Revised Selected Papers 18</em> (pp. 95-107). Springer International Publishing. Seiger, R., Zerbato, F., Burattin, A., García-Bañuelos, L., & Weber, B. (2020, October). Towards iot-driven process event log generation for conformance checking in smart factories. In <em>2020 IEEE 24th International Enterprise Distributed Object Computing Workshop (EDOCW)</em> (pp. 20-26). IEEE. Seiger, R., Malburg, L., Weber, B., & Bergmann, R. (2022). Integrating process management and event processing in smart factories: A systems architecture and use cases. <em>Journal of Manufacturing Systems</em>, <em>63</em>, 575-592.
DOI: 10.17894/ucph.52b0a46d-f48e-46fc-936f-d75657d7e6cb
title: Glacial Rock Flour Pot Trials: Lejre, Denmark
DOI: 10.5258/soton/d2377
title: Dataset in support of the publication 'Does Rapid Mobilisation as Part of an Enhanced Recovery Pathway Improve Length of Stay, Return to Function and Patient Experience Post Primary Total Hip Replacement? A Randomised Controlled Trial'

description: Data collected through the study registered: ClinicalTrials.gov Identifier: NCT02428829. Of the datasets uploaded: Q_Main contains main study data ExpQ contains data of quantitative findings of participant experience questionnaires mILOA contains data of modified Iowa Level of Assistance Score data Post_opComp contains data of incidence of post-operative complications
DOI: 10.25446/oxford.21376083
title: Impact of district education policies on learning: Contract teacher recruitment in Bukittinggi

description: This study forms part of the teams Reform Area B workstream that focusses on decentralisation and district innovations through four specially selected innovative districts that will be used as "learning laboratories" to generate findings. In each district, the team studies a particular system innovation and its impact on learning outcomes. Some of these innovations are co-designed with the district government.
DOI: 10.25446/oxford.21376083.v1
title: Impact of district education policies on learning: Contract teacher recruitment in Bukittinggi

description: This study forms part of the teams Reform Area B workstream that focusses on decentralisation and district innovations through four specially selected innovative districts that will be used as "learning laboratories" to generate findings. In each district, the team studies a particular system innovation and its impact on learning outcomes. Some of these innovations are co-designed with the district government.
DOI: 10.5281/zenodo.7612725
title: Trusted Code Smells Dataset

description: This code smells dataset collected from Git history of top-100 Java projects. It contains 5912 samples of smelly code with fixing it by developers themselves. Collected code smell types are: Complex Method, Long Method and God Class.
DOI: 10.5281/zenodo.7612724
title: Trusted Code Smells Dataset

description: This code smells dataset collected from Git history of top-100 Java projects. It contains 5912 samples of smelly code with fixing it by developers themselves. Collected code smell types are: Complex Method, Long Method and God Class.
DOI: 10.25446/oxford.21959846
title: Improving Teacher Performance and Accountability (KIAT Guru) Impact Evaluation 2019, Follow Up Survey

description: The study aims to evaluate the impacts of three interventions which linked a community-based monitoring scheme with a government allowance specifically received by teachers working in remote schools in Indonesia. The program was launched by the Ministry of Education and Culture (MoEC) and the National Team for the Acceleration of Poverty Reduction (TNP2K) and was developed in collaboration with the World Bank with a total budget of US$6,335,000. The program aims to increase the presence and service quality of primary school teachers in remote areas in Indonesia. Since 2016, the program targets 270 primary schools spread in 235 remote villages in 5 districts.
DOI: 10.25446/oxford.21959846.v1
title: Improving Teacher Performance and Accountability (KIAT Guru) Impact Evaluation 2019, Follow Up Survey

description: The study aims to evaluate the impacts of three interventions which linked a community-based monitoring scheme with a government allowance specifically received by teachers working in remote schools in Indonesia. The program was launched by the Ministry of Education and Culture (MoEC) and the National Team for the Acceleration of Poverty Reduction (TNP2K) and was developed in collaboration with the World Bank with a total budget of US$6,335,000. The program aims to increase the presence and service quality of primary school teachers in remote areas in Indonesia. Since 2016, the program targets 270 primary schools spread in 235 remote villages in 5 districts.
DOI: 10.25377/sussex.7970771
title: Dataset for Everyday Childhoods research project. Jasmine - Recursive Interview (embargo)

description: This data was collected as part of Jasmine's recursive interview, carried out on the 26/09/2014 with Ester McGeeney. This item belongs to the Everyday Childhoods project dataset. For more information, click on the project or collection link.
DOI: 10.6084/m9.figshare.22020452
title: Data for "Mapping global nitrogen deposition impacts on soil respiration"

description: This is the data file for the meta-analysis " Mapping global N deposition impacts on soil respiration". Please contact the authors if you have any questions about the dataset.
DOI: 10.25446/oxford.21583029
title: Impact of district education policies on learning: PPG Selectivity

description: This study forms part of the teams Reform Area B workstream that focusses on decentralisation and district innovations through four specially selected innovative districts that will be used as "learning laboratories" to generate findings. In each district, the team studies a particular system innovation and its impact on learning outcomes. Some of these innovations are co-designed with the district government.
DOI: 10.25446/oxford.21583029.v1
title: Impact of district education policies on learning: PPG Selectivity

description: This study forms part of the teams Reform Area B workstream that focusses on decentralisation and district innovations through four specially selected innovative districts that will be used as "learning laboratories" to generate findings. In each district, the team studies a particular system innovation and its impact on learning outcomes. Some of these innovations are co-designed with the district government.
DOI: 10.25377/sussex.7976234
title: Dataset for Everyday Childhoods research project. Nathan - Day in a Life (embargo)

description: This data was collected as part of Nathan's day in a life observation, carried out on the 28/06/2014 with Liam Berriman. This item belongs to the Everyday Childhoods project dataset. For more information, click on the project or collection link.
DOI: 10.25446/oxford.21583047
title: Impact of district education policies on learning: PPG Selectivity

description: This study forms part of the teams Reform Area B workstream that focusses on decentralisation and district innovations through four specially selected innovative districts that will be used as "learning laboratories" to generate findings. In each district, the team studies a particular system innovation and its impact on learning outcomes. Some of these innovations are co-designed with the district government.
DOI: 10.25446/oxford.21583047.v1
title: Impact of district education policies on learning: PPG Selectivity

description: This study forms part of the teams Reform Area B workstream that focusses on decentralisation and district innovations through four specially selected innovative districts that will be used as "learning laboratories" to generate findings. In each district, the team studies a particular system innovation and its impact on learning outcomes. Some of these innovations are co-designed with the district government.
DOI: 10.25377/sussex.7970732
title: Dataset for Everyday Childhoods research project. Jasmine - Favourite Things Interview (embargo)

description: This data was collected as part of Jasmine's favourite things interview, carried out on the 18/02/2014 with Ester McGeeney. This item belongs to the Everyday Childhoods project dataset. For more information, click on the project or collection link.
DOI: 10.25377/sussex.7976225
title: Dataset for Everyday Childhoods research project. Nathan - Favourite Things Interview

description: This data was collected as part of Nathan's favourite things interview, carried out on the 06/03/2014 with Liam Berriman. This item belongs to the Everyday Childhoods project dataset. For more information, click on the project or collection link.
DOI: 10.25377/sussex.7970912
title: Dataset for Everyday Childhoods research project. Sean - Day in a Life (embargo)

description: This data was collected as part of Sean's day in a life observation, carried out on the 03/04/2014 with Liam Berriman. This item belongs to the Everyday Childhoods project dataset. For more information, click on the project or collection link.
DOI: 10.25377/sussex.7970876
title: Dataset for Everyday Childhoods research project. Sean - Favourite Things Interview (embargo)

description: This data was collected as part of Sean's favourite things interview, carried out on the 13/03/2014 with Liam Berriman. This item belongs to the Everyday Childhoods project dataset. For more information, click on the project or collection link.
DOI: 10.25377/sussex.7976255
title: Dataset for Everyday Childhoods research project. Nathan - Recursive Interview (embargo)

description: This data was collected as part of Nathan's recursive interview, carried out on the 21/09/2014 with Liam Berriman. This item belongs to the Everyday Childhoods project dataset. For more information, click on the project or collection link.
DOI: 10.5281/zenodo.7612764
title: Prof. Dr. Ahmed Abbas C.V. Data.

description: C.V about Dr ahmed abbas
DOI: 10.5281/zenodo.7612763
title: Prof. Dr. Ahmed Abbas C.V. Data.

description: C.V about Dr ahmed abbas
DOI: 10.25810/q1-ts57.28
title: Russian Newspaper Coverage of Climate Change or Global Warming, 2000-2022 - December 2022

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.3886/e108123v2-132325
title: Relationship between cognitive behavioral variables and mental health status among university students: A meta-analysis

description: Cognitive behavioral therapy is an effective treatment for improving mental health problems among university students. However, intervention components have different effects on mental health problems. This paper is a meta-analysis of the data concerning the relationship between cognitive behavioral variables and mental health status among university students. A total of 4 electronic databases were reviewed, and 1,227 articles met the initial selection criteria. Reviewers applied standardized coding schemes to extract the correlational relationship between cognitive behavioral variables and mental health status. A total of 54 articles were included in the meta-analysis. Correlations were found for three cognitive behavioral variables (attention, thought, and behavior) across nine mental health domains (negative affect, positive affect, happiness, social function, stress response, psychological symptom, quality of life, well-being, and general health). Across each cognitive behavioral process and all mental health domains, the estimated mean correlation is modest (.29 - .41), and the correlation depended on the domain of mental health.
DOI: 10.6084/m9.figshare.21136834
title: Flower_presentation

description: Flower schedule data for all studied species
DOI: 10.6084/m9.figshare.21136834.v1
title: Flower_presentation

description: Flower schedule data for all studied species
DOI: 10.6084/m9.figshare.21136831
title: Pollen_availability

description: Pollen availability data for all studied species
DOI: 10.6084/m9.figshare.21136810
title: Pollinator_density_submission

description: Pollinator and studied plant density
DOI: 10.6084/m9.figshare.21136810.v2
title: Pollinator_density_submission

description: Pollinator and studied plant density
DOI: 10.25810/37f9-1j65.57
title: Spanish Newspaper Coverage of Climate Change or Global Warming, 2000-2021 - December 2022

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.25810/qt7k-6r09.44
title: Swedish Newspaper Coverage of Climate Change or Global Warming, 2000-2022 - December 2022

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.5281/zenodo.7605718
title: Google Street View vehicle-based mobile air quality observations in Salt Lake City (May 2019-March 2020)

description: Google Street View (GSV) mobile air quality data collected in Salt Lake City as part of an Environmental Defense Fund-supported project that took place between May 2019 and March 2020. <br> The data collection, resolved at 1-second frequency, was carried out with two GSV vehicles. The data is in a single CSV (comma-separated value) text file.
DOI: 10.5281/zenodo.7605717
title: Google Street View vehicle-based mobile air quality observations in Salt Lake City (May 2019-March 2020)

description: Google Street View (GSV) mobile air quality data collected in Salt Lake City as part of an Environmental Defense Fund-supported project that took place between May 2019 and March 2020. <br> The data collection, resolved at 1-second frequency, was carried out with two GSV vehicles. The data is in a single CSV (comma-separated value) text file.
DOI: 10.25810/8196-e820.57
title: United Kingdom Newspaper Coverage of Climate Change or Global Warming, 2000-2022 - December 2022

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.5517/ccdc.csd.cc2bp62b
title: CCDC 2165321: Experimental Crystal Structure Determination

description: Related Article: Wenchao Yan, Tingzhou Li, Zelun Cai, Hao Qi, Ruoyao Guo, Peihao Huo, Zhiwei Liu, Zuqiang Bian|2022|Inorg.Chem.Front.|9|4794|doi:10.1039/D2QI01216B
description: Related Article: Gang Yu, Huanyu Liu, Wenchao Yan, Ruoyao Guo, Aoben Wu, Zifeng Zhao, Zhiwei Liu, Zuqiang Bian|2022|Materials Horizons|10|625|doi:10.1039/D2MH01123A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c3p17
title: CCDC 2178278: Experimental Crystal Structure Determination

description: Related Article: Felix Houard, Guiseppe Cucinotta, Thierry Guizouarn, Yan Suffren, Guillaume Calvez, Carole Daiguebonne, Olivier Guillou, Franck Artzner, Matteo Mannini, Kevin Bernot|2022|Materials Horizons|10|547|doi:10.1039/D2MH01158A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cj6jn
title: CCDC 2190321: Experimental Crystal Structure Determination

description: Related Article: Sanjay Singh, Sankalan Mondal, Nagaraju Vodnala, Chinmoy Kumar Hazra|2023|Green Chemistry|25|1014|doi:10.1039/D2GC04684A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cj6mr
title: CCDC 2190324: Experimental Crystal Structure Determination

description: Related Article: Sanjay Singh, Sankalan Mondal, Nagaraju Vodnala, Chinmoy Kumar Hazra|2023|Green Chemistry|25|1014|doi:10.1039/D2GC04684A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.7612607
title: JugadoresBaloncesto

description: Archivos sobre jugadores de baloncesto
DOI: 10.5281/zenodo.7612606
title: JugadoresBaloncesto

description: Archivos sobre jugadores de baloncesto
DOI: 10.25810/c862-0e81.57
title: US Television Coverage of Climate Change or Global Warming, 2000-2022 - December 2022

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.5281/zenodo.7612446
title: DatosJugadores

description: Dataset con diferentes datos sobre jugadores de la NBA
DOI: 10.5281/zenodo.7612445
title: DatosJugadores

description: Dataset con diferentes datos sobre jugadores de la NBA
DOI: 10.25810/k55w-7a04.57
title: World Radio Coverage of Climate Change or Global Warming, 2000-2022 - December 2022

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.6073/pasta/706b6e1a599b536619b9f8057b2ccbca
title: WAT04 Root decomposition and nutrient dynamics are resistant to rainfall legacies in tallgrass prairie

description: Purpose: Litter decomposition is an important component of carbon (C) and nitrogen (N) cycling, and rates of mass loss and nutrient release are sensitive to current climate conditions. Growing evidence suggests that past climate conditions can exert legacies on soil C and N cycling, but little is known about how belowground decomposition dynamics relate to these climate legacies. Results: Root litter mass loss was resistant to most climate treatments. Contrary to expectations, decomposition rates were slowest in plots with a history of long-term irrigation and fastest under drought in lowland prairie. Similarly, mass loss rates were overall faster in the drier uplands. Changes in N concentration as a function of mass loss were similar across treatments and patterns of litter N release largely tracked mass loss. Conclusions: Changes in the decomposer community with long-term release from water stress may have led to slowed root decomposition, but these effects were subtle. Our results suggest that changes in decomposition rates are not a cause of observed climate legacy effects on C and N cycling in prairies.
DOI: 10.5281/zenodo.7061490
title: T-cell receptor Vβ (TCRVB) deep sequencing on human T cells isolated from humanized mice engrafted with human PBMC and treated or not with PTCy post-transplantation

description: Nucleotide sequence data of TCRVB sequencing performed on T cells isolated from the pre-transplantation hPBMC (donor T cells) or from mice organs at day 21 post-transplantation (injected or not with PTCy at day 3) to determine the impact of PTCy on the T cell V beta (TCRVB) receptor repertoire diversity. NSG mice were engrafted with human PBMC to develop xeno-GVHD and treated or not with 100 mg/kg PTCy. Spleens and lungs from 10 NSG mice per group were pooled and stained to sorted human CD4+ and CD8+ . DNA of human CD4+ and CD8+ T cells sorted from each organ and from the PBMC donor was extracted. One hundred fifty µg from each sample were used for T-cell receptor Vβ (TCRVB) deep sequencing performed by Adaptive Biotechnologies.<br>
DOI: 10.5281/zenodo.7061489
title: T-cell receptor Vβ (TCRVB) deep sequencing on human T cells isolated from humanized mice engrafted with human PBMC and treated or not with PTCy post-transplantation

description: Nucleotide sequence data of TCRVB sequencing performed on T cells isolated from the pre-transplantation hPBMC (donor T cells) or from mice organs at day 21 post-transplantation (injected or not with PTCy at day 3) to determine the impact of PTCy on the T cell V beta (TCRVB) receptor repertoire diversity. NSG mice were engrafted with human PBMC to develop xeno-GVHD and treated or not with 100 mg/kg PTCy. Spleens and lungs from 10 NSG mice per group were pooled and stained to sorted human CD4+ and CD8+ . DNA of human CD4+ and CD8+ T cells sorted from each organ and from the PBMC donor was extracted. One hundred fifty µg from each sample were used for T-cell receptor Vβ (TCRVB) deep sequencing performed by Adaptive Biotechnologies.<br>