cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6417491
title: Messenger magentometer and coordinates dataset for Machine learning

description: This dataset is based on the original MESSENGER mission magnetometer and coordinate data as made available at PDS PPI. It introduces a number of improvements upon the original [1 sec temporal resolution]: Magnetometer calibration signals have been removed. Coordinates and magnetic field measurements have been merged together. Additional fields, such as model dipole magnetic field and planetary position in a heliocentric coordinate system have been added. The dataset has been split up into files by orbit numbers, with each file centered on the periapsis. Data for a number of partially recorded orbits has been removed.
DOI: 10.5281/zenodo.6425067
title: Fires_Behavior_resume

description: Fire behavior resume for Martorell, Santa Coloma Queralt, Torroella, Pobla Massaluca, Llançà, Alfarràs and Sierra Bermeja fires (Spain). The differences in the data shown respond to the possibility of launching sondes, recreating isochrones, and observing the plume column during each fire. In those cases where the information was obtained through these three ways, the variables available are: column type, ABL and LCL height (m), sonde ID, rate of spread (km/h), ROS observed / ROS expected ratio, fireline intensity expected and observed (kW/m), and affected area (ha).
DOI: 10.5281/zenodo.6425066
title: Fires_Behavior_resume

description: Fire behavior resume for Martorell, Santa Coloma Queralt, Torroella, Pobla Massaluca, Llançà, Alfarràs and Sierra Bermeja fires (Spain). The differences in the data shown respond to the possibility of launching sondes, recreating isochrones, and observing the plume column during each fire. In those cases where the information was obtained through these three ways, the variables available are: column type, ABL and LCL height (m), sonde ID, rate of spread (km/h), ROS observed / ROS expected ratio, fireline intensity expected and observed (kW/m), and affected area (ha).
DOI: 10.34740/kaggle/dsv/3427679
title: SVDE2LoCBF
DOI: 10.6084/m9.figshare.19545061
title: data.zip

description: data
DOI: 10.6084/m9.figshare.19545061.v6
title: data.zip

description: data
DOI: 10.6084/m9.figshare.19545061.v5
title: data.zip

description: data
DOI: 10.5281/zenodo.6425333
title: Summary of the most important features for selected ABs

description: These data summarizes the relevant findings and the identified limitations (in terms of "Category", "Technology", "Properties", "Limitation", and "Applicability to railway"), coming from the overview of different Alternative Bearers (ABs), carried out in deliverable D21 (AB4Rail project, www.ab4rail.eu).<br> The results have provided an overview of several technologies, each of them showing specific characteristics. The heterogeneous nature of different ABs allows to provide a plethora of available communication technologies to be potentially used by the Adaptable Communication System (ACS) for different railway scenarios. All the selected ABs provide the IP interconnection feature since they are Integrated within OSI reference model.<br> In this way, it collects the planned objectives of deliverable D2.1, expressed as a technological overview of selected ABs, as possible candidates coexisting with Traditional Bearers (TBs) for supporting railway applications.
DOI: 10.5281/zenodo.6425332
title: Summary of the most important features for selected ABs

description: These data summarizes the relevant findings and the identified limitations (in terms of "Category", "Technology", "Properties", "Limitation", and "Applicability to railway"), coming from the overview of different Alternative Bearers (ABs), carried out in deliverable D21 (AB4Rail project, www.ab4rail.eu).<br> The results have provided an overview of several technologies, each of them showing specific characteristics. The heterogeneous nature of different ABs allows to provide a plethora of available communication technologies to be potentially used by the Adaptable Communication System (ACS) for different railway scenarios. All the selected ABs provide the IP interconnection feature since they are Integrated within OSI reference model.<br> In this way, it collects the planned objectives of deliverable D2.1, expressed as a technological overview of selected ABs, as possible candidates coexisting with Traditional Bearers (TBs) for supporting railway applications.
DOI: 10.6084/m9.figshare.19552222
title: Data Covid Vaccine

description: Basic demographic and laboratory data
DOI: 10.5255/ukda-sn-855391
title: Improving Learning: Developing Measures of Accountability and Evaluating their Association with Students' Gains in Achievement in Nepal, 2017-2021

description: The student survey data include measures of students’ background, knowledge, aspirations, satisfaction, and perception of classroom environment and teaching quality. The student survey measures are drawn from previous national and international studies including TRIPOD, Evaluating the Design and Impact of School Sector Development Program (SSDP) Training in Nepal (3ie) and School Sector Reform Program (World Bank). Out of 4889 eligible students, data were collected from 4588 students resulting in a response rate of 94%. The parent survey data include household-level measures of household size, composition, socio-economic background (ethnicity, social status), education and occupation, wealth, assets, and income. The data also include individual-level measures of parents’ perceptions of teaching quality, parental action related to gathering information about alternative schools, barriers/facilitators to exercising school choice, and awareness and participation in civil society organizations seeking to influence governance of education. Out of 4889 eligible students’ parents, data were collected from 4606 parents resulting in a response rate of 94%. The teacher survey data include measures of teachers’ background, knowledge, training, instructional practice, classroom management, and parental outreach and reporting. Out of 951 eligible teachers, data were collected from 906 teachers resulting in a response rate of 95%. The Head Teacher (Principal) survey data include measures of general background, performance, school management experience, professional engagement with school leadership, and satisfaction with working conditions. Out of 114 eligible schools, data were collected from Head Teachers (Principals) from 113 schools resulting in a response rate of 99%. The school management committee (SMC) data include measures of accountability (delegation, finance, performance, information, and enforcement). Out of 114 eligible schools, data were collected from SMCs from 109 schools resulting in a response rate of 96%. The Parent Teacher Association (PTA) data include measures of short-term accountability (local community level) and other measures of accountability (delegation, finance, performance, information, and enforcement). Out of 114 eligible schools, data were collected from PTA representatives from 108 schools resulting in a response rate of 95%.
DOI: 10.22008/fk2/3bvf9v/gtlnjz
title: boreholes.kml

description: KML of borehole locations with metadata
DOI: 10.22008/fk2/3bvf9v/zpunpu
title: temperature.csv

description: :unav
DOI: 10.22008/fk2/3bvf9v/sdytu6
title: meta.csv

description: Metadata
DOI: 10.22008/fk2/3bvf9v/p1ez5h
title: temperature_dnorm.csv

description: Temperature profiles - normalized depth
DOI: 10.14284/560
title: Coastal pictures and components

description: Pictures shown during the picture-rating experiment of the PhD of Alexander Hooyberg (WP1) and quantification of the picture components.
description: The dataset was created by Alexander Hooyberg during his PhD at the Flanders Marine Institute in collaboration with Ghent University. The goal was to have a set of pictures that represented the Belgian coast, and have information about what can be seen on the pictures. Therefore, a large number of pictures were taken along the Belgian coast, from which the best pictures were further edited and shown to the participants in the picture-rating experiment.
DOI: 10.6084/m9.figshare.19345789
title: Early predictive value of circulating biomarkers for sorafenib in advanced hepatocellular carcinoma

description: Sorafenib is currently the first-line therapeutic regimen for patients with advanced hepatocellular carcinoma (HCC). However, many patients did not experience any benefit and suffered extreme adverse events and heavy economic burden. Thus, the early identification of patients who are most likely to benefit from sorafenib is needed. This review focused on the clinical application of circulating biomarkers (including conventional biomarkers, immune biomarkers, genetic biomarkers, and some novel biomarkers) in advanced HCC patients treated with sorafenib. An online search on PubMed, Web of Science, Embase, and Cochrane Library was conducted from the inception to 15 August 2021. Studies investigating the predictive or prognostic value of these biomarkers were included. The distinction of patients who may benefit from sorafenib treatment is of utmost importance. The predictive roles of circulating biomarkers could solve this problem. Many biomarkers can be obtained by liquid biopsy, which is a less or noninvasive approach. The short half-life of sorafenib could reflect the dynamic changes of tumor progression and monitor the treatment response. Circulating biomarkers obtained from liquid biopsy resulted as a promising assessment method in HCC, allowing for better treatment decisions in the near future. Alpha-fetoprotein (AFP); American Association for the Study of Liver Diseases (AASLD); Angiopoietin (Ang); Barcelona Clinic Liver Cancer stage (BCLC); Circulating endothelial progenitor (CEP); Circulating free DNA (cfDNA); Complete response (CR); Des-γ-carboxy prothrombin (DCP); Endothelium-derived nitric oxide synthase (eNOS); Hepatocellular carcinoma (HCC); Hepatocyte growth factor (HGF); Hepatoma arterial-embolization prognosis score (HAP); High mobility group box 1 (HMgb1); Interferon-gamma (IFN-γ); Long non-coding RNA (lncRNAs); Micro RNAs (miRNAs); Monocyte-to-lymphocyte ratio (MLR); National Comprehensive Cancer Network (NCCN); Neutrophil-lymphocyte ratio (NLR); Newcastle-Ottawa Scale (NOS); Nitric oxide (NO); Overall survival (OS); Partial response (PR); Platelet-lymphocyte ratio (PLR); Prediction of survival in advanced sorafenib-treated HCC (PROSASH); Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA); Prognostic nutritional index (PNI); Progression-free survival (PFS); Progressive disease (PD); Randomized controlled trials (RCTs); Response Evaluation Criteria in Solid Tumors (RECIST); Single nucleotide polymorphisms (SNPs); Sorafenib advanced HCC prognosis score (SAP); Stable disease (SD); Time to progression (TTP); Transcatheter arterial chemoembolization (TACE); Vascular endothelial growth factor (VEGF).
DOI: 10.6084/m9.figshare.19345789.v1
title: Early predictive value of circulating biomarkers for sorafenib in advanced hepatocellular carcinoma

description: Sorafenib is currently the first-line therapeutic regimen for patients with advanced hepatocellular carcinoma (HCC). However, many patients did not experience any benefit and suffered extreme adverse events and heavy economic burden. Thus, the early identification of patients who are most likely to benefit from sorafenib is needed. This review focused on the clinical application of circulating biomarkers (including conventional biomarkers, immune biomarkers, genetic biomarkers, and some novel biomarkers) in advanced HCC patients treated with sorafenib. An online search on PubMed, Web of Science, Embase, and Cochrane Library was conducted from the inception to 15 August 2021. Studies investigating the predictive or prognostic value of these biomarkers were included. The distinction of patients who may benefit from sorafenib treatment is of utmost importance. The predictive roles of circulating biomarkers could solve this problem. Many biomarkers can be obtained by liquid biopsy, which is a less or noninvasive approach. The short half-life of sorafenib could reflect the dynamic changes of tumor progression and monitor the treatment response. Circulating biomarkers obtained from liquid biopsy resulted as a promising assessment method in HCC, allowing for better treatment decisions in the near future. Alpha-fetoprotein (AFP); American Association for the Study of Liver Diseases (AASLD); Angiopoietin (Ang); Barcelona Clinic Liver Cancer stage (BCLC); Circulating endothelial progenitor (CEP); Circulating free DNA (cfDNA); Complete response (CR); Des-γ-carboxy prothrombin (DCP); Endothelium-derived nitric oxide synthase (eNOS); Hepatocellular carcinoma (HCC); Hepatocyte growth factor (HGF); Hepatoma arterial-embolization prognosis score (HAP); High mobility group box 1 (HMgb1); Interferon-gamma (IFN-γ); Long non-coding RNA (lncRNAs); Micro RNAs (miRNAs); Monocyte-to-lymphocyte ratio (MLR); National Comprehensive Cancer Network (NCCN); Neutrophil-lymphocyte ratio (NLR); Newcastle-Ottawa Scale (NOS); Nitric oxide (NO); Overall survival (OS); Partial response (PR); Platelet-lymphocyte ratio (PLR); Prediction of survival in advanced sorafenib-treated HCC (PROSASH); Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA); Prognostic nutritional index (PNI); Progression-free survival (PFS); Progressive disease (PD); Randomized controlled trials (RCTs); Response Evaluation Criteria in Solid Tumors (RECIST); Single nucleotide polymorphisms (SNPs); Sorafenib advanced HCC prognosis score (SAP); Stable disease (SD); Time to progression (TTP); Transcatheter arterial chemoembolization (TACE); Vascular endothelial growth factor (VEGF).
DOI: 10.5281/zenodo.6425370
title: Comparison among transport layer protocols

description: Data provide a comparison of transport layer protocols (TCP/MPTCP, UDP, SCTP, DCCP, QUIC, RTP) for railway applications in terms of "Congestion control", "Flow control", "Error control", "Connection establishment", "Addressing", "Checksum (for misdelivery)", "Multiplexing", "Connection-oriented", "Casting", "Stream/message-oriented", "Reliable", "Data bundling".
DOI: 10.5281/zenodo.6425369
title: Comparison among transport layer protocols

description: Data provide a comparison of transport layer protocols (TCP/MPTCP, UDP, SCTP, DCCP, QUIC, RTP) for railway applications in terms of "Congestion control", "Flow control", "Error control", "Connection establishment", "Addressing", "Checksum (for misdelivery)", "Multiplexing", "Connection-oriented", "Casting", "Stream/message-oriented", "Reliable", "Data bundling".
DOI: 10.5255/ukda-sn-855430
title: Mediation Model for Sustainable Infrastructure Development: Scaling up Praxis from Mongolia to Central Asia, 2018-2019

description: Interview transcripts and focus group transcripts from interviews and focus groups with individual herders and local residents, local government officials, representatives from mining companies, representatives from NGOs and civil society organisations, and truck drivers in Khanbogd, Gurvantes and Sukhbatar counties and Ulaanbaatar in Mongolia and from Naryn, Chatkal and Ala-Buka districts in Kyrgyzstan undertaken in 2018 and 2019.
DOI: 10.5281/zenodo.6320861
title: Data supporting publication by Morinetal

description: <strong>Data deposit for Morin et al. showing data supporting some of the analyses.</strong> <strong>Please read the ReadMe_Morinetal.pdf file.</strong>
DOI: 10.25428/dataset/001
title: HR Challenges & Competencies: during and "after" COVID-19 Dataset
DOI: 10.5281/zenodo.6425379
title: Comparability of skeletal fibulae surfaces generated by different source scanning (dual-energy CT scan vs. high resolution laser scanning) and 3D geometric morphometric validation

description: <strong>SI_Appendix 1.</strong> Matrix of Cartesian coordinates of analyzed specimens. <strong>SI_Appendix 2</strong>. Sample list and acquisition methods.
DOI: 10.5281/zenodo.6425378
title: Comparability of skeletal fibulae surfaces generated by different source scanning (dual-energy CT scan vs. high resolution laser scanning) and 3D geometric morphometric validation

description: <strong>SI_Appendix 1.</strong> Matrix of Cartesian coordinates of analyzed specimens. <strong>SI_Appendix 2</strong>. Sample list and acquisition methods.
DOI: 10.5281/zenodo.6425416
title: Info Máster

description: Resultados información web másteres
DOI: 10.5281/zenodo.6425415
title: Info Máster

description: Resultados información web másteres
DOI: 10.5281/zenodo.6378992
title: Caregivers and MDR-TB patients: Dataset for the importance of knowledge and behavior on drug resistance tuberculosis

description: Multidrug-resistant Tuberculosis (MDR-TB) is a type of Tuberculosis (TB) that is resistant to at least one or more of the main anti-TB drugs, namely Rifampin or Isoniazid, so this infection is more difficult to eliminate. Good knowledge and behavior of caregivers and patients can affect the success of treatment because they tend not to be late in taking treatment. In this data note we provide the details of a research database of 228 MDR-TB caregivers and patients underwent treatment from January 2020 to December 2021 in preferred hospital in West Java, Indonesia. The purposes of this publication are to describe the dataset for external researchers who may be interested in making use of it, and to detail the methods used to obtain the dataset to determine the level of knowledge and behavior of MDR-TB caregivers and patients regarding the disease through a validated questionnaire consisted of the knowledge and behavior distributed to respondents via online and offline.
DOI: 10.5519/qd.1gm6ip0h
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (65 records)
DOI: 10.5281/zenodo.6378991
title: Caregivers and MDR-TB patients: Dataset for the importance of knowledge and behavior on drug resistance tuberculosis

description: Multidrug-resistant Tuberculosis (MDR-TB) is a type of Tuberculosis (TB) that is resistant to at least one or more of the main anti-TB drugs, namely Rifampin or Isoniazid, so this infection is more difficult to eliminate. Good knowledge and behavior of caregivers and patients can affect the success of treatment because they tend not to be late in taking treatment. In this data note we provide the details of a research database of 228 MDR-TB caregivers and patients underwent treatment from January 2020 to December 2021 in preferred hospital in West Java, Indonesia. The purposes of this publication are to describe the dataset for external researchers who may be interested in making use of it, and to detail the methods used to obtain the dataset to determine the level of knowledge and behavior of MDR-TB caregivers and patients regarding the disease through a validated questionnaire consisted of the knowledge and behavior distributed to respondents via online and offline.
DOI: 10.5281/zenodo.6425396
title: DGL Data Library

description: <em>Please find an up-to-date version of this document at https://github.com/DigitalGeographyLab/data-library</em> <strong>Digital Geography Lab Data Library</strong> Over the years, the Digital Geography Lab (DGL) has collected data from a variety of open data sources, that now reside in the group’s common database. These data collection efforts have been carried out by different members of the DGL and different contributors, at different points in time, and with different focus and coverage. This is especially true for data from social media, data from other online platforms, and volunteered geographic information. This document is an effort in honouring everybody who contributed to the DGL data library, and to keep record of which datasets have once been used in DGL research and publications. It also should serve as a document to cite when referring to data that are re-used in a new study. For these purposes, please use the following citation: DGL data contributors, 2022: <em>Digital Geography Lab Data Library</em>. DOI:10.5281/zenodo.6425396 <pre><code>@misc{dgl_data_contributors_digital_2022, title = {Digital Geography Lab Data Library}, author = {{DGL data contributors}}, date = {2022}, doi = {10.5281/zenodo.6425396} }</code></pre> <br> <strong>Data contributors</strong> - Tuuli Toivonen<br> - Henrikki Tenkanen<br> - Olle Järv<br> - Vuokko Heikinheimo<br> - Maria Salonen<br> - Tuomo Hiippala<br> - Elias Willberg<br> - Claudia Bergroth<br> - Tuomas Väisänen<br> - Jeison Londoño Espinosa<br> - Age Poom<br> - Joel Jalkanen<br> - Kerli Müürisepp<br> - Oleksandr Karasov<br> - Christoph Fink<br> - Enrico Di Minin<br> - Anna Hausmann<br> - Matthew Zook<br> - Håvard Aagesen<br> - Samuli Massinen<br> - Tatu Leppämäki<br> - Marisofia Nurmi<br> - Sonja Koivisto<br> - Aleksi Toikka<br> - Bryan Vallejo<br> - Laura Centore<br> - Ainokaisa Tarnanen<br> - Jaani Lahtinen<br> - Perttu Saarsalmi<br> - Timo Jaakkola<br> - Juha Järvi <strong>Data sources</strong> The Digital Geography Lab Data Library contains data compiled from the following sources: - Twitter<br> - flickr<br> - Instagram<br> - OpenStreetMap<br> - Wikipedia<br> - Helsinki Region Infoshare Note that some of the data has been purged to meet legal and ethical requirements, and that other data sets have been preserved in an anonymised form.
description: Please find an up-to-date version of this document at https://github.com/DigitalGeographyLab/data-library
description: {"references": ["DGL data contributors, 2022: Digital Geography Lab Data Library. DOI:10.5281/zenodo.6425396"]}
DOI: 10.5281/zenodo.6425395
title: DGL Data Library

description: <em>Please find an up-to-date version of this document at https://github.com/DigitalGeographyLab/data-library</em> <strong>Digital Geography Lab Data Library</strong> Over the years, the Digital Geography Lab (DGL) has collected data from a variety of open data sources, that now reside in the group’s common database. These data collection efforts have been carried out by different members of the DGL and different contributors, at different points in time, and with different focus and coverage. This is especially true for data from social media, data from other online platforms, and volunteered geographic information. This document is an effort in honouring everybody who contributed to the DGL data library, and to keep record of which datasets have once been used in DGL research and publications. It also should serve as a document to cite when referring to data that are re-used in a new study. For these purposes, please use the following citation: DGL data contributors, 2022: <em>Digital Geography Lab Data Library</em>. DOI:10.5281/zenodo.6425396 <pre><code>@misc{dgl_data_contributors_digital_2022, title = {Digital Geography Lab Data Library}, author = {{DGL data contributors}}, date = {2022}, doi = {10.5281/zenodo.6425396} }</code></pre> <br> <strong>Data contributors</strong> - Tuuli Toivonen<br> - Henrikki Tenkanen<br> - Olle Järv<br> - Vuokko Heikinheimo<br> - Maria Salonen<br> - Tuomo Hiippala<br> - Elias Willberg<br> - Claudia Bergroth<br> - Tuomas Väisänen<br> - Jeison Londoño Espinosa<br> - Age Poom<br> - Joel Jalkanen<br> - Kerli Müürisepp<br> - Oleksandr Karasov<br> - Christoph Fink<br> - Enrico Di Minin<br> - Anna Hausmann<br> - Matthew Zook<br> - Håvard Aagesen<br> - Samuli Massinen<br> - Tatu Leppämäki<br> - Marisofia Nurmi<br> - Sonja Koivisto<br> - Aleksi Toikka<br> - Bryan Vallejo<br> - Laura Centore<br> - Ainokaisa Tarnanen<br> - Jaani Lahtinen<br> - Perttu Saarsalmi<br> - Timo Jaakkola<br> - Juha Järvi <strong>Data sources</strong> The Digital Geography Lab Data Library contains data compiled from the following sources: - Twitter<br> - flickr<br> - Instagram<br> - OpenStreetMap<br> - Wikipedia<br> - Helsinki Region Infoshare Note that some of the data has been purged to meet legal and ethical requirements, and that other data sets have been preserved in an anonymised form.
description: Please find an up-to-date version of this document at https://github.com/DigitalGeographyLab/data-library
description: {"references": ["DGL data contributors, 2022: Digital Geography Lab Data Library. DOI:10.5281/zenodo.6425396"]}