cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/jh1r-td30
title: M2M using OPC UA

description: Cyber-Physical Production Systems (CPPS) are the key enabling for industrial businesses and economic growth. The introduction of the Internet of Things (IoT) in industrial processes represents a new Internet revolution, mostly known as 4th Industrial Revolution, towards the Smart Manufacturing concept. Despite the huge interest from the industry side to innovate their production systems, in order to increase revenues at lower costs, the IoT concept is still immature and fuzzy, which increases security related risks in industrial systems. This dataset was generated by implementing and injecting various attacks on a OPC UA based CPPS testbed, and it aim to enable users to evaluate the effectiveness of different techniques for developed Intrusion Detection Systems (IDS) in the manufacturing context.
DOI: 10.21227/cg69-7v32
title: Fetal Heart Rate Features of Healthy and Late IUGR Fetuses

description: The dataset consists of two populations of fetuses: 160 healthy and 102 Late Intra Uterine Growth Restricted (IUGR). Late IUGR is an adverse pathological condition encompassing chronic hypoxia as a consequence of placental insufficiency, resulting in an abnormal rate of fetal growth. In standard clinical practice, Late IUGR diagnosis can only be suspected in the third trimester and ultimately confirmed at birth. This data collection comprises of a set of 31 Fetal Heart Rate (FHR) indices computed at different time scales and domains accompanied by the clinical diagnosis. Antepartum CTG recordings were collected at the Azienda Ospedaliera Universitaria Federico II (Napoli, Italy), during daily routine monitoring. Traces were recorded in a controlled clinical environment, with participants lying supine and undergoing a standard non-stress test protocol using Philips Avalon FM30. The acquired traces are of duration equal to 40 minutes and sampled at 2 Hz.Each CTG recording was subdivided in epochs of 120 samples (1-min) or 360 samples (3-min) prior to feature extraction. The choice of 1-min or 3-min subintervals is based upon to the different time scales on which FHR indices are computed. Regarding artifacts identification, we discarded segments including more than five consecutive samples or more than 5% of samples (6 FHR values out of 120 points per subinterval or 18 FHR values out of 360 points per subinterval) for which the FHR could not be detected. Lastly, isolated samples of insufficient quality were substituted by the moving average of the nearest five FHR points. The parameters obtained for all the segments of one recording are then averaged to derive a single value for each parameter for any given recording.
DOI: 10.21227/t53f-qf08
title: Fetal Heart Rate Features of Healthy and Late IUGR Fetuses

description: The dataset consists of two populations of fetuses: 160 healthy and 102 Late Intra Uterine Growth Restricted (IUGR). Late IUGR is an adverse pathological condition encompassing chronic hypoxia as a consequence of placental insufficiency, resulting in an abnormal rate of fetal growth. In standard clinical practice, Late IUGR diagnosis can only be suspected in the third trimester and ultimately confirmed at birth. This data collection comprises of a set of 31 Fetal Heart Rate (FHR) indices computed at different time scales and domains accompanied by the clinical diagnosis. Antepartum CTG recordings were collected at the Azienda Ospedaliera Universitaria Federico II (Napoli, Italy), during daily routine monitoring. Traces were recorded in a controlled clinical environment, with participants lying supine and undergoing a standard non-stress test protocol using Philips Avalon FM30. The acquired traces are of duration equal to 40 minutes and sampled at 2 Hz.Each CTG recording was subdivided in epochs of 120 samples (1-min) or 360 samples (3-min) prior to feature extraction. The choice of 1-min or 3-min subintervals is based upon to the different time scales on which FHR indices are computed. Regarding artifacts identification, we discarded segments including more than five consecutive samples or more than 5% of samples (6 FHR values out of 120 points per subinterval or 18 FHR values out of 360 points per subinterval) for which the FHR could not be detected. Lastly, isolated samples of insufficient quality were substituted by the moving average of the nearest five FHR points. The parameters obtained for all the segments of one recording are then averaged to derive a single value for each parameter for any given recording.
DOI: 10.21227/xsn5-kn05
title: Fetal Heart Rate Features of Healthy and Late IUGR Fetuses

description: The dataset consists of two populations of fetuses: 160 healthy and 102 Late Intra Uterine Growth Restricted (IUGR). Late IUGR is an adverse pathological condition encompassing chronic hypoxia as a consequence of placental insufficiency, resulting in an abnormal rate of fetal growth. In standard clinical practice, Late IUGR diagnosis can only be suspected in the third trimester and ultimately confirmed at birth. This data collection comprises of a set of 31 Fetal Heart Rate (FHR) indices computed at different time scales and domains accompanied by the clinical diagnosis. Antepartum CTG recordings were collected at the Azienda Ospedaliera Universitaria Federico II (Napoli, Italy), during daily routine monitoring. Traces were recorded in a controlled clinical environment, with participants lying supine and undergoing a standard non-stress test protocol using Philips Avalon FM30. The acquired traces are of duration equal to 40 minutes and sampled at 2 Hz.Each CTG recording was subdivided in epochs of 120 samples (1-min) or 360 samples (3-min) prior to feature extraction. The choice of 1-min or 3-min subintervals is based upon to the different time scales on which FHR indices are computed. Regarding artifacts identification, we discarded segments including more than five consecutive samples or more than 5% of samples (6 FHR values out of 120 points per subinterval or 18 FHR values out of 360 points per subinterval) for which the FHR could not be detected. Lastly, isolated samples of insufficient quality were substituted by the moving average of the nearest five FHR points. The parameters obtained for all the segments of one recording are then averaged to derive a single value for each parameter for any given recording.
DOI: 10.21227/7h0m-jg56
title: Fetal Heart Rate Features of Healthy and Late IUGR Fetuses

description: The dataset consists of two populations of fetuses: 160 healthy and 102 Late Intra Uterine Growth Restricted (IUGR). Late IUGR is an adverse pathological condition encompassing chronic hypoxia as a consequence of placental insufficiency, resulting in an abnormal rate of fetal growth. In standard clinical practice, Late IUGR diagnosis can only be suspected in the third trimester and ultimately confirmed at birth. This data collection comprises of a set of 31 Fetal Heart Rate (FHR) indices computed at different time scales and domains accompanied by the clinical diagnosis. Antepartum CTG recordings were collected at the Azienda Ospedaliera Universitaria Federico II (Napoli, Italy), during daily routine monitoring. Traces were recorded in a controlled clinical environment, with participants lying supine and undergoing a standard non-stress test protocol using Philips Avalon FM30. The acquired traces are of duration equal to 40 minutes and sampled at 2 Hz.Each CTG recording was subdivided in epochs of 120 samples (1-min) or 360 samples (3-min) prior to feature extraction. The choice of 1-min or 3-min subintervals is based upon to the different time scales on which FHR indices are computed. Regarding artifacts identification, we discarded segments including more than five consecutive samples or more than 5% of samples (6 FHR values out of 120 points per subinterval or 18 FHR values out of 360 points per subinterval) for which the FHR could not be detected. Lastly, isolated samples of insufficient quality were substituted by the moving average of the nearest five FHR points. The parameters obtained for all the segments of one recording are then averaged to derive a single value for each parameter for any given recording.
DOI: 10.21227/k7c0-2k97
title: Fetal Heart Rate Features of Healthy and Late IUGR Fetuses

description: The dataset consists of two populations of fetuses: 160 healthy and 102 Late Intra Uterine Growth Restricted (IUGR). Late IUGR is an adverse pathological condition encompassing chronic hypoxia as a consequence of placental insufficiency, resulting in an abnormal rate of fetal growth. In standard clinical practice, Late IUGR diagnosis can only be suspected in the third trimester and ultimately confirmed at birth. This data collection comprises of a set of 31 Fetal Heart Rate (FHR) indices computed at different time scales and domains accompanied by the clinical diagnosis. Antepartum CTG recordings were collected at the Azienda Ospedaliera Universitaria Federico II (Napoli, Italy), during daily routine monitoring. Traces were recorded in a controlled clinical environment, with participants lying supine and undergoing a standard non-stress test protocol using Philips Avalon FM30. The acquired traces are of duration equal to 40 minutes and sampled at 2 Hz.Each CTG recording was subdivided in epochs of 120 samples (1-min) or 360 samples (3-min) prior to feature extraction. The choice of 1-min or 3-min subintervals is based upon to the different time scales on which FHR indices are computed. Regarding artifacts identification, we discarded segments including more than five consecutive samples or more than 5% of samples (6 FHR values out of 120 points per subinterval or 18 FHR values out of 360 points per subinterval) for which the FHR could not be detected. Lastly, isolated samples of insufficient quality were substituted by the moving average of the nearest five FHR points. The parameters obtained for all the segments of one recording are then averaged to derive a single value for each parameter for any given recording.
DOI: 10.5519/qd.y418098h
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (772 records)
DOI: 10.15468/bx8nk0
title: The genus Navicordulia Machado & Costa, 1995 (Insecta, Odonata, Corduliidae s. str.): new species, identification key for males and data on ecology and distribution

description: This dataset contains the digitized treatments in Plazi based on the original journal article Fleck, Günther, Juillerat, Laurent (2019): The genus Navicordulia Machado & Costa, 1995 (Insecta, Odonata, Corduliidae s. str.): new species, identification key for males and data on ecology and distribution. Zoosystema 41 (27): 553-565, DOI: 10.5252/zoosystema2019v41a27
DOI: 10.3886/e112497v1-23283
title: Replication data for: Compulsory Licensing: Evidence from the Trading with the Enemy Act

description: Compulsory licensing allows firms in developing countries to produce foreign-owned inventions without the consent of foreign patent owners. This paper uses an exogenous event of compulsory licensing after World War I under the Trading with the Enemy Act to examine the effects of compulsory licensing on domestic invention. Difference-in-differences analyses of nearly 130,000 chemical inventions suggest that compulsory licensing increased domestic invention by 20 percent. (JEL D45, L24, N42, O31, O34)
DOI: 10.14469/hpc/7033
title: Michael 1,4 addition Enol product Int2 wB97XD/Def2-TZVPP after C-C bond formation G = -515.582006

description: Gaussian Calculation
DOI: 10.15468/41wg0s
title: A review of the genus Coccoglypta Pilsbry, 1895 (Gastropoda: Pulmonata: Camaenidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Páll-Gergely, Barna, Hunyadi, András, Chen, Zhe-Yu, Lyu, Zhi-Tong (2019): A review of the genus Coccoglypta Pilsbry, 1895 (Gastropoda: Pulmonata: Camaenidae). Zoosystema 41 (29): 595-608, DOI: 10.5252/zoosystema2019v41a29
DOI: 10.15468/ngvvb0
title: Two new species of socially parasitic Nylanderia ants from the southeastern United States

description: This dataset contains the digitized treatments in Plazi based on the original journal article Messer, Steven J., Cover, Stefan P., Rabeling, Christian (2020): Two new species of socially parasitic Nylanderia ants from the southeastern United States. ZooKeys 921: 23-48, DOI: http://dx.doi.org/10.3897/zookeys.921.46921, URL: http://dx.doi.org/10.3897/zookeys.921.46921
DOI: 10.15468/xsk46k
title: The unknown bathyal of the Canaries: new species and new records of deep-sea Mollusca

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ortega, José Rafael, Gofas, Serge (2019): The unknown bathyal of the Canaries: new species and new records of deep-sea Mollusca. Zoosystema 41 (26): 513-551, DOI: 10.5252/zoosystema2019v41a26
DOI: 10.15468/zrriei
title: Notes on the genus Trigonotoma from China, with descriptions of two new species (Carabidae, Pterostichinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Zhu, Pingzhou, Shi, Hongliang, Liang, Hongbin (2020): Notes on the genus Trigonotoma from China, with descriptions of two new species (Carabidae, Pterostichinae). ZooKeys 921: 49-64, DOI: http://dx.doi.org/10.3897/zookeys.921.47258, URL: http://dx.doi.org/10.3897/zookeys.921.47258
DOI: 10.15468/qjlnqe
title: The species Severe acute respiratory syndromerelated coronavirus: classifying 2019 - nCoV and naming it SARS-CoV- 2

description: This dataset contains the digitized treatments in Plazi based on the original journal article Viruses, Coronaviridae Study Group of the International Committee on Taxonomy of, Gorbalenya, Alexander E., Baker, Susan C., Baric, Ralph S., de Groot, Raoul J., Drosten, Christian, Gulyaeva, Anastasia A., Haagmans, Bart L., Lauber, Chris, Leontovich, Andrey M., Neuman, Benjamin W., Penzar, Dmitry, Perlman, Stanley, Poon, Leo L. M., Samborskiy, Dmitry V., Sidorov, Igor A., Sola, Isabel, Ziebuhr, John (2020): The species Severe acute respiratory syndromerelated coronavirus: classifying 2019 - nCoV and naming it SARS-CoV- 2. Nature Microbiology 5: 536-544, DOI: 10.1038/s41564-020-0695-z
DOI: 10.21227/e81e-9355
title: Robot Dynamics Identification

description: This matlab code allows to reproduce some of the constrained and unconstrained dynamic identification techniques for open-chain robots. Below you can find an summary of the underlying research."Identification of dynamic parameters of robots is a long standing topic in robot control. Recently, the research witnessed a renewal of the activity due to some interesting results concerning issues involving the physical consistency of the obtained parameters leading to constraints, for instance, on mass, first moment of mass and inertia matrix of each rigid link of the robot. This is motivated by high performance required by model-based control of, for example, legged or surgical robots and to obtain realistic simulations of the same systems. The objective of this article is twofold. First, we review and experimentally compare on a Jaco 7 Degrees of Freedom anthropomorphic arm the latest results on the identification of the dynamic parameters which range from Least Mean Squares to constrained non-linear optimisation and Linear-Matrix-Inequality Semi-Definite-Programming methods. Second, motivated by the increasing attention paid to measurable robotics and for the sake of reproducibility, data and code (which can be easily adapted to consider any open-chain manipulator) are made available to the community for improvement and to run further comparisons. As indirect but not less important contribution, this paper provides a first physical fully consistent identified rigid dynamic model of theJaco robot publicly made available to the robotic community."
DOI: 10.21227/kgc8-3249
title: M2M using OPC UA

description: Cyber-Physical Production Systems (CPPS) are the key enabling for industrial businesses and economic growth. The introduction of the Internet of Things (IoT) in industrial processes represents a new Internet revolution, mostly known as 4th Industrial Revolution, towards the Smart Manufacturing concept. Despite the huge interest from the industry side to innovate their production systems, in order to increase revenues at lower costs, the IoT concept is still immature and fuzzy, which increases security related risks in industrial systems. This dataset was generated by implementing and injecting various attacks on a OPC UA based CPPS testbed, and it aim to enable users to evaluate the effectiveness of different techniques for developed Intrusion Detection Systems (IDS) in the manufacturing context.
DOI: 10.21227/rg2j-fe29
title: The experimental results for the submitted paper

description: This data set includes the experimental results of our submitted paper "Performance Evaluation and Enhancement of Satellite Networks: A complex network perspective".
DOI: 10.21227/wzch-ak77
title: An Approach to Predict IPM T-LSMs Air Gap Flux Density: Application to the Mover Geometry Sizing

description: The paper introduces an analytical approach topredict the no-load flux density spatial repartition of innerpermanent magnet tubular-linear synchronous machines (IPMT-LSMs). It considers a trapezoidal waveform whose maximumvalue is predicted using a simple magnetic equivalent circuitof an elementary part of the machine. Then, the accuracy ofthe proposed approach is enhanced by the incorporation ofa mover permeance function that accounts for the PM luxconcentratingarrangement. Following its validation by a 2Dfinite element analysis (FEA), the proposed approach is appliedto the investigation of the impact of the mover geometry on theair gap flux density with emphasis on the mover pole shoes bydistinguishing the cases of rectangular and trapezoidal shapes.This makes it possible the selection of an IPM T-LSM withappropriate mover geometry for which further investigation ofthe no-load operation is achieved onsidering FEA as well asexperiments carried out on a prototype.
DOI: 10.21227/yn0c-g785
title: The experimental results for the submitted paper

description: This data set is the experimtnal results for the submiiteed paper "Structural performance, Satellite networks, Complex network, Topological dynamics".
DOI: 10.24431/rw1k447
title: Estimation of Abundance and Demographic Rates of Pacific Walruses in the Bering and Chukchi Seas, 2015

description: This study estimated abundance and demographic rates, including survival and recruitment, of Pacific walruses in the Beaufort Sea in 2015. The data collected was used to determine the feasibility of conducting a large scale and long-term capture-mark-recapture effort to determine the size of the Pacific walrus population as well as age and sex specific survival and recruitment of the population. The decline in sea ice habitat and the associated stressors are causing a population decline of Pacific walrus. This study provided a baseline for monitoring Pacific walrus populations. The data was collected from visual observations of Pacific walruses in which skin biopsy samples were collected and used for individual identification. The field data was collected on an electronic field entry system, a Juniper Mesa and converted to a csv file.
DOI: 10.5281/zenodo.3725943
title: Datasets used in the work "Environmental variables determining the distribution of an avian parasite: the case of the Philornis torquans complex (Diptera: Muscidae) in South America"

description: Data used in the work "Environmental variables determining the distribution of an avian parasite: the case of the Philornis torquans complex (Diptera: Muscidae) in South America" 1. Full set of occurrence localities of the Philornis torquans complex.<br> 2. Spatially filtered set of occurrence localities used for model calibration.<br> 3. Set of environmental variables clipped to the geographic extent of South America (G).<br> 4. Set of variables used in model calibration, clipped to the extent of the accessible area (M).<br> 5. A shapefile of the accessible area "M".<br>
DOI: 10.5281/zenodo.3725944
title: Datasets used in the work "Environmental variables determining the distribution of an avian parasite: the case of the Philornis torquans complex (Diptera: Muscidae) in South America"

description: Data used in the work "Environmental variables determining the distribution of an avian parasite: the case of the Philornis torquans complex (Diptera: Muscidae) in South America" 1. Full set of occurrence localities of the Philornis torquans complex.<br> 2. Spatially filtered set of occurrence localities used for model calibration.<br> 3. Set of environmental variables clipped to the geographic extent of South America (G).<br> 4. Set of variables used in model calibration, clipped to the extent of the accessible area (M).<br> 5. A shapefile of the accessible area "M".<br>
DOI: 10.25345/c5dq3m
title: MassIVE MSV000085148 - CNZ_279 and CNZ_288: Streptomyces bacterial culture sample
title: Metabolic analysis of bacterial culture samples grown on A1 media, standard ethyl acetate extraction. Data was acquired using a Agilent Ion Trap and C18 RP-HPLC. Positive polarity acquisition of LC-MS/MS.
DOI: 10.21227/k8sv-s561
title: Expressive motion with dancers

description: In recent years, researchers have explored human body posture and motion to control robots in more natural ways. These interfaces require the ability to track the body movements of the user in three dimensions. Deploying motion capture systems for tracking tends to be costly and intrusive and requires a clear line of sight, making them ill adapted for applications that need fast deployment. In this article, we use consumer-grade armbands, capturing orientation information and muscle activity, to interact with a robotic system through a state machine controlled by a body motion classifier. To compensate for the low quality of the information of these sensors, and to allow a wider range of dynamic control, our approach relies on machine learning. We train our classifier directly on the user to recognize (within minutes) which physiological state his or her body motion expresses. We demonstrate that on top of guaranteeing faster field deployment, our algorithm performs better than all comparable algorithms, and we detail its configuration and the most significant features extracted. As the use of large groups of robots is growing, we postulate that their interaction with humans can be eased by our approach. We identified the key factors to stimulate engagement using our system on 27 participants, each creating his or her own set of expressive motions to control a swarm of desk robots. The resulting unique dataset is available online together with the classifier and the robot control scripts.
DOI: 10.21223/p3/azrdgh/ec1dzl
title: ProtocolosForLifeTableStudies.pdf

description: :unav
DOI: 10.21223/p3/azrdgh/nr5jgw
title: Life_table_Dgelechiidivoris_Tutaabsoluta.xls

description: :unav