cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34740/kaggle/dsv/4442891
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.6084/m9.figshare.21493344
title: Supplementary Material for: Gastric Peroral Endoscopic Myotomy as a Therapeutic Option in Refractory Gastroparesis: A Step-By-Step Description

description: Medicine
DOI: 10.6084/m9.figshare.21493344.v1
title: Supplementary Material for: Gastric Peroral Endoscopic Myotomy as a Therapeutic Option in Refractory Gastroparesis: A Step-By-Step Description

description: Medicine
DOI: 10.6084/m9.figshare.21280383
title: Supplementary Data: Prostaglandin-based rAAV-mediated glaucoma gene therapy in Brown Norway rats

description: Numerical data sets that accompany the manuscript entitled Prostaglandin-based rAAV-mediated glaucoma gene therapy in Brown Norway rats .
DOI: 10.6084/m9.figshare.21280383.v1
title: Supplementary Data: Prostaglandin-based rAAV-mediated glaucoma gene therapy in Brown Norway rats

description: Numerical data sets that accompany the manuscript entitled Prostaglandin-based rAAV-mediated glaucoma gene therapy in Brown Norway rats .
DOI: 10.5281/zenodo.7276748
title: CPSV-AP 2.0 based public service descriptions of the Region of Epirus (Greece) as linked data

description: It comprises a set of 45 CPSV-AP 2.0 based public service descriptions as linked data. The fields of the included public service descriptions were adapted from a regional public service catalogue, namely "The Citizen's Guide of the Region of Epirus", in order to comply with CPSV-AP 2.0 data model. The public service descriptions that are included in the linked dataset are not updated as the intended usage of the linked dataset is for research or educational activities and not for providing valid information to citizens.
DOI: 10.5281/zenodo.7276747
title: CPSV-AP 2.0 based public service descriptions of the Region of Epirus (Greece) as linked data

description: It comprises a set of 45 CPSV-AP 2.0 based public service descriptions as linked data. The fields of the included public service descriptions were adapted from a regional public service catalogue, namely "The Citizen's Guide of the Region of Epirus", in order to comply with CPSV-AP 2.0 data model. The public service descriptions that are included in the linked dataset are not updated as the intended usage of the linked dataset is for research or educational activities and not for providing valid information to citizens.
DOI: 10.15468/dwn693
title: Análisis taxonómicos de macrofauna bentónica de Navantia Dársena de Cartagena y Navantia Ría de Ferrol (2021)

description: Datos de macroinvertebrados bentónicos obtenidos en sedimentos marinos de los fondos blandos mediante los Planes de Vigilancia Ambiental realizados en 2021, en las instalaciones que NAVANTIA S.A., S.M.E. dispone en la Ría de Ferrol y la Dársena de Cartagena.
DOI: 10.5281/zenodo.7184989
title: Synthetic automotive LiDAR dataset with radial velocity additional feature - (x,y,z,v)

description: The synthetic dataset was generated using KITTI-like specifications and annotations format. It is comprised by the KITTI standard folders: label_2, image_2 and calib. Furthermore, there is a velodyne file for each of the following use cases: Point cloud 1: (x,y,z, (Bool)Is_Object): In this point cloud, the best performance of the Deep Learning model is expected as ground truth information is provided as the additional feature of each point. Point cloud 1A: (x,y,z, (Bool)Is_Car): the additional feature of each point that belongs to an object of the ’Car’ type has a Boolean 1.0 value; contrariwise, the 0.0 value was used. File: velodyne_1A_isCar; Point cloud 1B: (x,y,z, (Bool)Is_Ped): the additional feature of each point that belongs to an object of the ’Pedestrian’ type has a Boolean 1.0 value; contrariwise, the value 0.0 was used. File: velodyne_1A_isPed. Point cloud 2: (x,y,z, (Float)Radial_Velocity): this point cloud has the relative radial velocity as an additional feature for each point. File: velodyne_2_radial_velocity; Point cloud 3: (x,y,z,(Float)Absolute_Speed): in this point cloud, every point has the absolute speed of the object as the additional feature. File: velodyne_3_abs_speed; Point cloud 4: (x,y,z,(Bool)Is_Moving): the additional feature of this point cloud is a Boolean value that is set to 1.0 if the object is moving; contrariwise, it is set to 0.0 for static objects. File: velodyne_4_is_moving; Point cloud 5: (x,y,z,0): no additional feature information. If desired, requires post-processing to convert to (x,y,z) or changing the toolbox point cloud configuration to not consider the additional feature. File: velodyne_5_xyz; Additionally, the label split for testing and training sets used can be found at file: Labels_split. This work was made as part of a master thesis. For further details, please check the dataset generation source code [1]. Any further questions please contact Leandro Alexandrino (l.alexandrino@ua.pt). [1] - Fork deepgtav-presil - leandro alexandrino, https://github.com/leandroalexandrino1995/DeepGTAVPreSIL.
description: {"references": ["https://github.com/leandroalexandrino1995/DeepGTAVPreSIL"]}
DOI: 10.5281/zenodo.7184990
title: Synthetic automotive LiDAR dataset with radial velocity additional feature - (x,y,z,v )

description: The synthetic dataset was generated using KITTI-like specifications and annotations format. It is comprised by the KITTI standard folders: label_2, image_2 and calib. Furthermore, there is a velodyne file for each of the following use cases: Point cloud 1: (x,y,z, (Bool)Is_Object): In this point cloud, the best performance of the Deep Learning model is expected as ground truth information is provided as the additional feature of each point. Point cloud 1A: (x,y,z, (Bool)Is_Car): the additional feature of each point that belongs to an object of the ’Car’ type has a Boolean 1.0 value; contrariwise, the 0.0 value was used. File: velodyne_1A_isCar; Point cloud 1B: (x,y,z, (Bool)Is_Ped): the additional feature of each point that belongs to an object of the ’Pedestrian’ type has a Boolean 1.0 value; contrariwise, the value 0.0 was used. File: velodyne_1A_isPed. Point cloud 2: (x,y,z, (Float)Radial_Velocity): this point cloud has the relative radial velocity as an additional feature for each point. File: velodyne_2_radial_velocity; Point cloud 3: (x,y,z,(Float)Car_Absolute_Speed): in this point cloud, every point of a ’Car’ type object<br> has the absolute speed of the object as the additional feature. File: velodyne_3_car_abs_speed; Point cloud 4: (x,y,z,(Bool)Car_Is_Moving): the additional feature of a ’Car’ type object is a Boolean value that is set to 1.0 if the vehicle is moving, contrariwise is set to 0.0 for other object categories or if the vehicle is static. File: velodyne_4_car_is_moving; Point cloud 5: (x,y,z,0): no additional feature information. If desired, requires post-processing to convert to (x,y,z) or changing the toolbox point cloud configuration to not consider the additional feature. File: velodyne_5_xyz; Additionally, the label split for testing and training sets used can be found at file: Labels_split. This work was made as part of a master thesis. For further details, please check the dataset generation source code [1]. Any further questions please contact Leandro Alexandrino (l.alexandrino@ua.pt). [1] - Fork deepgtav-presil - leandro alexandrino, https://github.com/leandroalexandrino1995/DeepGTAVPreSIL.
description: {"references": ["https://github.com/leandroalexandrino1995/DeepGTAVPreSIL"]}
DOI: 10.5281/zenodo.7276691
title: Synthetic automotive LiDAR dataset with radial velocity additional feature - (x,y,z,v)

description: The synthetic dataset was generated using KITTI-like specifications and annotations format. It is comprised by the KITTI standard folders: label_2, image_2 and calib. Furthermore, there is a velodyne file for each of the following use cases: Point cloud 1: (x,y,z, (Bool)Is_Object): In this point cloud, the best performance of the Deep Learning model is expected as ground truth information is provided as the additional feature of each point. Point cloud 1A: (x,y,z, (Bool)Is_Car): the additional feature of each point that belongs to an object of the ’Car’ type has a Boolean 1.0 value; contrariwise, the 0.0 value was used. File: velodyne_1A_isCar; Point cloud 1B: (x,y,z, (Bool)Is_Ped): the additional feature of each point that belongs to an object of the ’Pedestrian’ type has a Boolean 1.0 value; contrariwise, the value 0.0 was used. File: velodyne_1A_isPed. Point cloud 2: (x,y,z, (Float)Radial_Velocity): this point cloud has the relative radial velocity as an additional feature for each point. File: velodyne_2_radial_velocity; Point cloud 3: (x,y,z,(Float)Absolute_Speed): in this point cloud, every point has the absolute speed of the object as the additional feature. File: velodyne_3_abs_speed; Point cloud 4: (x,y,z,(Bool)Is_Moving): the additional feature of this point cloud is a Boolean value that is set to 1.0 if the object is moving; contrariwise, it is set to 0.0 for static objects. File: velodyne_4_is_moving; Point cloud 5: (x,y,z,0): no additional feature information. If desired, requires post-processing to convert to (x,y,z) or changing the toolbox point cloud configuration to not consider the additional feature. File: velodyne_5_xyz; Additionally, the label split for testing and training sets used can be found at file: Labels_split. This work was made as part of a master thesis. For further details, please check the dataset generation source code [1]. Any further questions please contact Leandro Alexandrino (l.alexandrino@ua.pt). [1] - Fork deepgtav-presil - leandro alexandrino, https://github.com/leandroalexandrino1995/DeepGTAVPreSIL.
description: {"references": ["https://github.com/leandroalexandrino1995/DeepGTAVPreSIL"]}
DOI: 10.6084/m9.figshare.21103078
title: Source data for MS: Reduced phosphorus availability in paddy soils under atmospheric CO2 enrichment

description: Source data for ms including global analysis datasets.
DOI: 10.6084/m9.figshare.21103078.v1
title: Source data for MS: Decadal CO2 fertilization reduces phosphorus availability that threatens global rice yield

description: Source data for ms including global analysis datasets.
DOI: 10.20351/29gd20220917
title: BITER-1 Cruise, RV García del Cid

description: Oceanographic data acquired during the BITER-1 Cruise (29GD20220917) on board the Research Vessel García del Cid in 2022.
DOI: 10.5281/zenodo.7276811
title: The dataset for the paper "Long-Lived and Continual Volcanic Eruptions, Tectonic Activity, Pit Chains Formation and Boulder Avalanches in Northern Tharsis Region: Implications for Late Amazonian Geodynamics and Seismo-Tectonic Processes on Mars" JGR: Planets.

description: This dataset pertains to the following paper in Journal of Geophysical Research: Planets. Krishnan, V., and Kumar, P.S. (2022), Long-Lived and Continual Volcanic Eruptions, Tectonic Activity, Pit Chains Formation and Boulder Avalanches in Northern Tharsis Region: Implications for Late Amazonian Geodynamics and Seismo-Tectonic Processes on Mars, Journal of Geophysical Research: Planets (for full citation, please see the journal). AGU Manuscript No. 2022JE007511.
DOI: 10.5281/zenodo.7267054
title: Cartoon images dataset for total variation parameter learning

description: This dataset contains test and training image data for results presented in: Bredies K., Chenchene E., Hosseini A. A hybrid proximal generalized conditional gradient method and application to total variation parameter learning. 2022. https://arxiv.org/abs/2211.00997 Also, see the GitHub repository for the implementation. Training and test sets have been downloaded from Pixabay with permission.
DOI: 10.5281/zenodo.7267053
title: Cartoon images dataset for total variation parameter learning

description: This dataset contains test and training image data for results presented in: Bredies K., Chenchene E., Hosseini A. A hybrid proximal generalized conditional gradient method and application to total variation parameter learning. 2022. https://arxiv.org/abs/2211.00997 Also, see the GitHub repository for the implementation. Training and test sets have been downloaded from Pixabay with permission.
DOI: 10.34740/kaggle/dsv/4443029
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.21493443
title: Supplementary Tables – Scarsbrook et al. Hoplodactylus Taxonomy ZooTaxa

description: This sheet contains three supplementary figures for the ZooTaxa article "Revision of the New Zealand gecko genus <em>Hoplodactylus</em>, with the description of a new species." Locations of extant natural/translocated populations and historical/subfossil records of <em>Hoplodactylus tohu </em>n. sp. Locations of extant natural/translocated populations and historical/subfossil records of <em>Hoplodactylus duvaucelii</em> (Duméril & Bibron 1836). Individual measurements, scale counts and morphological descriptions for <em>Hoplodactylus duvaucelii</em> and <em>Hoplodactylus tohu </em>n. sp. specimens analysed
DOI: 10.6084/m9.figshare.21493443.v1
title: Supplementary Tables

description: This sheet contains three supplementary figures for the ZooTaxa article "Revision of the New Zealand gecko genus <em>Hoplodactylus</em>, with the description of a new species." Locations of extant natural/translocated populations and historical/subfossil records of <em>Hoplodactylus tohu </em>n. sp. Locations of extant natural/translocated populations and historical/subfossil records of <em>Hoplodactylus duvaucelii</em> (Duméril & Bibron 1836). Individual measurements, scale counts and morphological descriptions for <em>Hoplodactylus duvaucelii</em> and <em>Hoplodactylus tohu </em>n. sp. specimens analysed
DOI: 10.34740/kaggle/dsv/4443048
title: 2021 World Population (updated daily)
DOI: 10.6084/m9.figshare.21493538
title: Multiproxy sediment provenance analysis of two megafans of the Owambo Basin, Northern Namibia

description: Supplementary data
DOI: 10.6084/m9.figshare.21493538.v1
title: Multiproxy sediment provenance analysis of two megafans of the Owambo Basin, Northern Namibia

description: Supplementary data
DOI: 10.6084/m9.figshare.21493548
title: Vulnerabilidades y recursos de comunidades migrantes internacionales en Chile para enfrentar la pandemia SARS-CoV2: Construyendo estrategias diferenciadas desde la interculturalidad

description: A qualitative case study was carried out through individual online interviews to 30 international migrants living in Chile during the pandemic and 10 experts of the social and health care sectors in November-December 2020. The main objective of the primary study was to explore the psicosocial and socioeconomic vulnerability faced by international migrants and Chile as well as the institutional, community and individual strategies implemented to face the COVID-19 pandemic. The data set is the transcription of all 40 interviews.
DOI: 10.23729/96f1aa9a-4fbe-4963-b9d5-39454dfb91d2
title: Tailings Slag Mortar

description: TThe prism-like samples with dimension of 2 cm x 2 cm x 8 cm are series of one-part alkali-activated mortars synergy of mine tailings (MT) with blast furnace slag (BFS). The mineralogy of mine tailings is muscovite, chlorite, gypsym, albite, sphalerite, quartz, and pyrite. BFS is an almost amorphous by-product from steel-making industry. The mortar samples are prepared with substituting BFS with MT from 10 % to 50 %, and the ratio of precursor and solid sodium silicate was kept constant at 9:1. The optimal water/binder and sand/binder weight ratio were fixed at 0.35 and 2, respectively. A and B are parallel sample series with the number denoting amount of MT substitution. Results are included in Niu, H., Helser, J., Corfe, IJ., Kuva, J., Butcher, AR., Cappuyns, V., Kinnunen, P., Illikainen, M., 2022. Incorporation of bioleached sulfidic mine tailings in one-part alkali-activated blast furnace slag mortar, Construction and Building Materials 333, doi: 10.1016/j.conbuildmat.2022.127195 . Preview dataset found at https://doi.org/10.23729/e0ad7dd2-35aa-47ed-89ff-6f0bc75893d0 . To obtain data, please contact fairdata-pas@gtk.fi .
DOI: 10.34740/kaggle/dsv/4443137
title: Elon Musk Tweets
DOI: 10.6084/m9.figshare.21493230.v1
title: Supplementary Material for: Recurrent Late-Onset Sepsis in Extremely Low Birth Weight Infants Is Associated with Motor Deficits in Early School Age

description: <b><i>Introduction:</i></b> Sepsis is regarded as a risk factor for brain injury in preterm infants. We herein hypothesize that extremely low birth weight infants (ELBWI, birth weight &lt;1,000 g) having survived recurrent blood culture-proven late-onset sepsis (LOS) episodes are more likely to have an adverse long-term neurologic outcome. <b><i>Methods:</i></b> In a large multicenter observational study of ELBWI ≤28 6/7 weeks, we evaluated the impact of recurrent LOS (blood culture-proven, after day 7 of life) on development at 5–6 years. Neurodevelopment, behavior, and motor qualities were tested by blinded investigators. Univariate and logistic regression analyses were performed. <b><i>Results:</i></b> The cohort consisted of 1343 ELBWI including 1,080 infants without LOS, 186 infants with one LOS, and 77 with recurrent LOS, i.e., 55 infants with two and 22 infants with three LOS episodes. After Bonferroni-Holm correction, multiple logistic regression analysis revealed recurrent sepsis to be significantly associated with adverse motor development (critical MABC-2 testing: 3.3 [1.5–7.3], <i>p</i> = 0.003, <i>p</i><sub>B</sub> = 0.012), whereas no significant impact of recurrent LOS was found on intelligence quotient and behavioral difficulties. Odds of having critical motor testing results for infants with recurrent LOS were 1.7 times (95% confidence interval 1.4–2.3) that of infants with one LOS. <b><i>Conclusion:</i></b> Recurrent sepsis in preterm infants is associated with adverse long-term motor development. However, infants with recurrent infections are also more likely to have preterm-related complications, and reasons for a worse neurodevelopmental outcome remain to be elucidated.
DOI: 10.6084/m9.figshare.21215375
title: Supplementary Material for: Thrombolysis in Myocardial Infarction Risk Index Predicts One-Year Mortality in Patients with Heart Failure: An Analysis of the SELFIE-TR Study

description: Objective: Predicting outcomes is an essential part of evaluation in patients with heart failure (HF). While there are multiple individual laboratory and imaging variables, as well as risk scores available for this purpose, they are seldom useful during the initial evaluation. In this analysis, we aimed to understand predictive usefulness of Thrombosis in Myocardial Infarction Risk Index (TIMI-RI), a simple index that is calculated at bedside using three commonly available variables, using data from a multicenter HF registry. Subjects and Methods: A total of 728 patients from 23 centers were included to this analysis. Data on hospitalizations and mortality were collected by direct interviews, phone calls and electronic databases. TIMI-RI was calculated as defined before. Patients were divided into three equal tertiles to perform analyses. Results: Rehospitalization for HF was significantly higher in patients within the 3rd tertile, and 33.5% of patients within the 3rd tertile were dead within one-year follow up as compared to 14.5% of patients within the 1st tertile and 15.6% patients within the 2nd tertile (p&lt;0.001, log-rank p&lt;0.001 for pairwise comparisons on survival analysis). A TIMI-RI higher than 33 had a negative predictive value of 84.8% and a positive predictive value of 33.8% for prediction of one-year mortality. This predictive usefulness was independent of other demographic, examination and clinical variables (OR:1.74, 95%CI:1.05-2.86, p=0.036). Conclusion: TIMI-RI is a simple index that predicts one-year mortality in patients with HF, and it could be useful for rapid evaluation and triage of HF patients at the time of initial contact.
DOI: 10.6084/m9.figshare.21215375.v1
title: Supplementary Material for: Thrombolysis in Myocardial Infarction Risk Index Predicts One-Year Mortality in Patients with Heart Failure: An Analysis of the SELFIE-TR Study

description: Objective: Predicting outcomes is an essential part of evaluation in patients with heart failure (HF). While there are multiple individual laboratory and imaging variables, as well as risk scores available for this purpose, they are seldom useful during the initial evaluation. In this analysis, we aimed to understand predictive usefulness of Thrombosis in Myocardial Infarction Risk Index (TIMI-RI), a simple index that is calculated at bedside using three commonly available variables, using data from a multicenter HF registry. Subjects and Methods: A total of 728 patients from 23 centers were included to this analysis. Data on hospitalizations and mortality were collected by direct interviews, phone calls and electronic databases. TIMI-RI was calculated as defined before. Patients were divided into three equal tertiles to perform analyses. Results: Rehospitalization for HF was significantly higher in patients within the 3rd tertile, and 33.5% of patients within the 3rd tertile were dead within one-year follow up as compared to 14.5% of patients within the 1st tertile and 15.6% patients within the 2nd tertile (p&lt;0.001, log-rank p&lt;0.001 for pairwise comparisons on survival analysis). A TIMI-RI higher than 33 had a negative predictive value of 84.8% and a positive predictive value of 33.8% for prediction of one-year mortality. This predictive usefulness was independent of other demographic, examination and clinical variables (OR:1.74, 95%CI:1.05-2.86, p=0.036). Conclusion: TIMI-RI is a simple index that predicts one-year mortality in patients with HF, and it could be useful for rapid evaluation and triage of HF patients at the time of initial contact.
DOI: 10.6084/m9.figshare.21493701
title: Supplementary Material for: Comparative Efficacy and Safety of Biological Agents in the Treatment of Lupus Nephritis: A Network Meta-Analysis

description: <b><i>Background:</i></b> To date, no studies have described randomized controlled trials (RCTs) evaluating the effectiveness and safety of various biological agents used in induction therapy for lupus nephritis. <b><i>Objectives:</i></b> We designed this study to assess the relative efficacy and safety of some of these biological agents in patients with lupus nephritis. <b><i>Method:</i></b> We collected data from RCTs that examined the efficacy and safety of any biological agents for lupus nephritis and then used these data to complete a Bayesian network meta-analysis to combine the direct and indirect evidence from these studies. <b><i>Results:</i></b> We identified nine RCTs evaluating rituximab, abatacept, belimumab, anifrolumab, obinutuzumab, ocrelizumab, and low-dose interleukin-2 (IL-2) across 1,480 patients. Low-dose IL-2, obinutuzumab, rituximab, and belimumab achieved complete remission in a significant proportion of respondents when compared with that in the control. Ranking probability based on the surface under the cumulative ranking curve (SUCRA) indicated that low-dose IL-2 had the highest probability of achieving complete remission, followed by obinutuzumab, rituximab, belimumab, anifrolumab, abatacept, ocrelizumab, and the control. The risk of serious adverse events (SAE) tended to be lower for low-dose IL-2, rituximab, belimumab, and obinutuzumab than for the control. SUCRA-based ranking indicated that IL-2 had the highest probability of being safe, followed by rituximab, belimumab, obinutuzumab, control, anifrolumab, abatacept, and ocrelizumab. <b><i>Conclusions:</i></b> Low-dose IL-2 was the most effective induction treatment for patients with lupus nephritis and had the lowest potential for SAE. Higher complete remission rates and a more favorable safety profile suggest that low-dose IL-2, obinutuzumab, rituximab, and belimumab may be superior to the current control as treatments for lupus nephritis.