cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20358837.v2
title: Arterial hypertension and its covariates among the Raute nomadic hunter-gatherers of Western Nepal: a population-based mixed-method study

description: Design A mixed-method study with quantitative and qualitative analyses. Setting Household survey at Raute temporary camps in the Surkhet District of Karnali Province, Nepal between the period of May to September 2021. Primary and secondary outcome measures The presence of hypertension and its socio-demographic, anthropometric, and behavioral covariates among the participants. Participants For quantitative analysis, all men and non-pregnant women of the nomadic Raute community aged 15 years above were evaluated for hypertension and its covariates. For the qualitative analysis, we purposively selected both Raute and Non-Raute key informants for in-depth interviews to understand, explain and enrich the quantitative findings.
DOI: 10.17632/tm4mf23wgh.1
title: False information detection dataset

description: False information detection dataset
DOI: 10.5283/epub.53458
title: Data archive of Note Taking in the Digital Age – Towards a Ubiquitous Pen Interface

description: Dies sind die Daten zur Dissertation "Note Taking in the Digital Age – Towards a Ubiquitous Pen Interface"
DOI: 10.17632/9kr98mzmmk.1
title: Reglamento del Consejo Federal de Discapacidad, Argentina

description: Reglamento del Consejo Federal de Discapacidad, Argentina
DOI: 10.17632/jjxmv35jhp.1
title: Evaluation of anticancer activity of Kaempferol-3-O-β-D- (6″-coumaroyl)-glucopyronoside from Euphorbia Hirta flowers: Isolation, characterization

description: 3.4. Anti-cancer activity
Among the more than a few cancers, hepatocellular carcinoma (HCC) is one of the most frequent and lethal cancers worldwide. It debts for about 90% of all liver most cancers and it represents greater than 4% of all most cancers instances worldwide [15].The isolated Kaempferol-3-O-β-D-(6″-coumaroyl)-glucopyronoside was exhibited average inhibition in HeLa cell lines with GI50 of 100 µg, TGl of >100 and LC50 of >100 respectively, which has illustrated in Fig.6. This study is mainly focused to be to determine the inhibition activities of the flavonoid glycosides of Kaempferol-3-O-β-D-(6″-coumaroyl)-glucopyronoside in HeLa human cancers cell lines. 
3.5 In Silico Molecular Docking analysis of natural flavonoids as anti-cancer agents

The molecular docking intentions had been carried out on Auto Dock-Vina software [16] and as pronounced in literature [17]. The docking protocol expected the same conformation as used to be present in the crystal structure with RMSD value nicely inside the dependable vary of 2A°[18]. Amongst the docked conformations, one which binds properly at the active site was once analyzed for unique interactions in Discovery Studio Visualizer 4.0 software. Molecular docking is a precious method computational chemistry and medicinal chemistry to acutely analyses ligand recognition and it has led to vital breakthroughs in drug discovery and design. Molecular docking methodology explores the binding mode and affinity of a small molecule inside the binding site of the receptor target protein [19]. The docked ligands have been ranked in accordance to their binding affinity in a ligand–receptor complex (Fig. 2). Based on the binding affinities as exhibited by way of the docking research supported with the aid of the in-vitro assays (Table 2.), the contemporary data was give conclusion that the Kaempferol-3-O-β-D-(6″-coumaroyl)-glucopyronoside compound has more affinity with cancer cells.
4.1.1 Structure of target proteins

The most important therapeutic targets for breast cancer taken for the study had been ERα, PR, EGFR, and mTOR. The three-dimensional structures of the following breast cancer target proteins had been availed from protein data bank with the PDB ids: 1DI8, 1XO2 and 2OJ9 respectively. The ligand binds at the active site of the substrate by weak non-covalent 
interactions and these interactions are depicted in Fig. 8. In the ligand protein docking calculations, the most positive conformation for each and every ligand is chosen from 10 conformations.
DOI: 10.6084/m9.figshare.21975392
title: meta_balancedconfounded_dataset_3omics.xlsx

description: Metadata of dataset from balanced and confounded scenarios. <br> A subset of datasets from the full datasets to create balanced and confounded scenarios for assessing the pros and cons of the BECAs. In the balanced experiment scenario, 15 batches of data were used for each omics type, with each batch containing three study groups (D5, F7, and M8) and one replicate per group. In the confounded experiment scenario, the same 15 batches of data were used for each omics type, with each batch containing three replicates from one of the three study groups (D5, F7, or M8). Additionally, the three replicates from the arbitrarily selected reference group (D6) in each batch were employed for reference-based BECAs. Therefore, 45 study samples and 45 reference samples in balanced and confounded scenarios were employed at each omics level.
DOI: 10.6084/m9.figshare.21975392.v1
title: meta_balancedconfounded_dataset_3omics.xlsx

description: Metadata of dataset from balanced and confounded scenarios. <br> A subset of datasets from the full datasets to create balanced and confounded scenarios for assessing the pros and cons of the BECAs. In the balanced experiment scenario, 15 batches of data were used for each omics type, with each batch containing three study groups (D5, F7, and M8) and one replicate per group. In the confounded experiment scenario, the same 15 batches of data were used for each omics type, with each batch containing three replicates from one of the three study groups (D5, F7, or M8). Additionally, the three replicates from the arbitrarily selected reference group (D6) in each batch were employed for reference-based BECAs. Therefore, 45 study samples and 45 reference samples in balanced and confounded scenarios were employed at each omics level.
DOI: 10.17632/jkhnw6cyy3.1
title: Data Resiliencia CPTT  Venezuela 2022

description: Resiliencia y Empoderando del Intelectual Orgánico Productivo desde la estructura de los CPTT
El objetivo de este estudio fue indagar sobre los niveles de resiliencia de la clase trabajadora venezolana estructurada en Consejos Productivos de Trabajadores y Trabajadoras (CPTT) en el escenario del bloqueo, de la pandemia y post pandemia del Covid-19. Investigación de diseño no experimental, cualitativo y analítico. La muestra estuvo conformada por 93 trabajadores adscritos a entidades productivas correspondientes a los 12 “motores económicos” definidos a nivel gubernamental: El cuestionario estandarizado de Escala de Resiliencia de Connor-Davidson de interpretación cualitativa CD-RISC-25 (2003), de 25 ítems constituye un instrumento validado y adaptado, que se utiliza en la evaluación de los niveles de Resiliencia. La data fue recabada mediante Google Forms.  Los datos fueron procesados mediante el uso del software jamovi (2022) versión libre. La validez del estudio deviene del (AFE). La estimación de factores latentes fue ejecutada aplicando el método de rotación ortogonal Varimax. El ajuste del análisis se basó en los parámetros de adecuación muestral de (KMO) y prueba de esfericidad de Bartlett.  
Conclusiones 
La clase obrera venezolana organizada en los CPTT se caracteriza por manifestar Altos Niveles de Resiliencia que se expresan en:
•	Anticipar acciones en función de la dialógica permanente con el pueblo y el gobierno obrero: 
•	Aprovecha las oportunidades que devienen de las potencialidades de un país productor de materias primas, 
•	Implementa cambios en la dirección de las entidades productivas incorporando la estructura de los CPTT en la gestión, 
•	Aprovecha al máximo las potencialidades de la entidad y de las cualidades singulares de los trabajadores -especialización, inventiva, observacional etc.- 
•	Adaptación frente a escenarios cambiantes, determinación y tolerancia frente a las exigencias crecientes del tránsito hacia el proceso socialista de producción 
•	Flexibilización adaptativa ante la innovación que la propia clase obrera introduce en los procesos productivos, determinación, tolerancia y perseverancia para alcanzar las metas que satisfagan las necesidades populares 
•	Reconstruye, recupera y sobrevive induciendo hacia la recuperación de las entidades productivas.
En síntesis, la clase trabajadora venezolana empoderada en los Consejos Productivos de Trabajadores y Trabajadoras encontró referentes en el paradigma socialista, en la dirección del gobierno obrero, en los valores familiares y comunitarios, para desempeñar labores como lideres en la reconstrucción del aparato productivo nacional en el escenario del bloqueo, durante la pandemia y post pandemia de Covid-19. Los trabajadores venezolanos se auto perciben con Altos Niveles de Resiliencia, siendo capaces de confrontar obstáculos y proponer soluciones innovadoras que posibiliten el alcance de los objetivos propuestos dentro del proceso de emancipación socialista
DOI: 10.17632/9kp96mtb3n.1
title: Data Gestion CPTT Venezuela 2022

description: CPTT   en la Gestión de Entidades Productivas
El objetivo de este estudio fue describir la percepción de la gestión de las entidades productivas venezolanas por los Consejos Productivos de Trabajadores y Trabajadoras (CPTT) en Venezuela según el EFQM20 al año 2022. Investigación de diseño no experimental, mixto, cualitativo y descriptivo. La técnica de Investigación fue la entrevista semiestructurada siguiendo las dimensiones del EFQM20. La muestra corresponde a 15 voceros adscritos a los CPTT con quienes se estableció acuerdo de confidencialidad. El tipo de análisis aplicado corresponde al Análisis Cualitativo de Datos mediante software MAXQDA (2020) versión gratuita. 
Conclusión: El desempeño de los CPTT como estructura donde se expresa el intelectual orgánico productivo obrero prevalecen tres de las dimensiones adaptadas del EFQM20: 1.Propósito, visón y estrategia (PVE): Los trabajadores manifiestan claridad en los objetivos de identificar y satisfacer las necesidades del pueblo, de la entidad productiva, de sí mismos y del país en general desde una visión socialista y bolivariana. 2.Cultura de entidad productiva (CEP): Los trabajadores estructurados en los CPTT despliegan el carácter clasista de su gestión,  incidiendo en la transformación de la empresarial adscrita al enfoque  de extracción de plusvalor orientado hacia la acumulación de capital por élites propietarias de los medios de producción, hacia la visión colectivista. 3. Implicación de grupos de interés (IGI): Los CPTT fungen de actores concurrentes quienes establecen nexos vinculantes con los diversos actores involucrados en los procesos productivos y de comercialización -gobierno, administradores, comunidades, proveedores etc.
En posición intermedia se posicionaron las dimensiones: 4. Generación de Valor sostenible (GVS): Los CPTT priorizan la innovación para la reposición de partes y piezas que garantice la producción continua dentro de las entidades productivas, avanzando paulatinamente en el proceso de incorporación sustancial  de valor agregado derivado de la innovación. 5. Gestión del funcionamiento y la transformación (GFT): La gestión de insumos por parte de los CPTT continúa en fase de fiscalización y reducción de desperdicio. 
Por último, se ubican las dimensiones: 6. Percepción de los grupos de interés (PGI): Los CPTT expresan claridad en el propósito y visión socialista orientada hacia la satisfacción de las necesidades del pueblo. 7.Rendimiento Estratégico y Operativo (REO): El ejercicio de tareas de fiscalización de procesos por parte de los CPTT, domina el espectro de su desempeño, fungiendo de evaluadores permanentes de la dinámica productiva.
Los trabajadores organizados en los CPTT asumieron tareas de gestión productiva inscritos en el propósito de satisfacer las necesidades del pueblo y derrotar el bloqueo impuesto por el imperialismo, erigiéndose como sujetos claves en la dialógica socio productiva del país.
DOI: 10.5281/zenodo.7583761
title: Sub-National COVID-19 Incidence and Determinants Dataset

description: The Sub-National COVID-19 Incidence and Determinants Dataset contains rich sub-national data on COVID-19 cases and deaths combined with data on factors associated with the spread and severity of COVID-19 outbreaks in 2020. The data covers 503 sub-national areas (NUTS-2 level and equivalents) of 46 countries in five continents (Europe, Asia, North America, South America and Oceania). Indicators were mostly gathered weekly, with the exception of some variables that are monthly and yearly. The dataset was compiled to study the determinants of COVID-19 outbreaks with a focus on the effects of international airline travel. However, the data are useful to investigate also other questions on the sub-national diffusion of COVID-19. The information used to build this dataset was drawn from a variety of sources in order to cover four major areas of interest: health outcomes of the pandemic (COVID-19 cases and deaths), international air travel (number of incoming air passengers, centrality of local airports in the global airline network and air travel limitation policies), population mixing and government policy responses, and pre-pandemic area characteristics (socioeconomic, demographic, public health and co-morbidity). A complete list of sources can be found in the “Data sources” Pdf document attached. Please cite as: Recchi, E., A. Ferrara, A. Rodríguez Sánchez, E. Deutschmann, L. Gabrielli, S. Iacus, L. Bastiani, S. Spyratos & M. Vespe. 2022. The Impact of Air Travel on the Precocity and Severity of Covid-19 Deaths in Sub-National Areas across 45 Countries. Scientific Reports 12: 16522. https://doi.org/10.1038/s41598-022-20263-y
description: {"references": ["Recchi, E., A. Ferrara, A. Rodr\u00edguez S\u00e1nchez, E. Deutschmann, L. Gabrielli, S. Iacus, L. Bastiani, S. Spyratos & M. Vespe. 2022. The Impact of Air Travel on the Precocity and Severity of Covid-19 Deaths in Sub-National Areas across 45 Countries. Scientific Reports 12: 16522. https://doi.org/10.1038/s41598-022-20263-y"]}
DOI: 10.17632/x97dvmcnw3.1
title: 低温传感器数据以及深度学习算法

description: 低温传感器数据以及深度学习算法
DOI: 10.5281/zenodo.7583760
title: Sub-National COVID-19 Incidence and Determinants Dataset

description: The Sub-National COVID-19 Incidence and Determinants Dataset contains rich sub-national data on COVID-19 cases and deaths combined with data on factors associated with the spread and severity of COVID-19 outbreaks in 2020. The data covers 503 sub-national areas (NUTS-2 level and equivalents) of 46 countries in five continents (Europe, Asia, North America, South America and Oceania). Indicators were mostly gathered weekly, with the exception of some variables that are monthly and yearly. The dataset was compiled to study the determinants of COVID-19 outbreaks with a focus on the effects of international airline travel. However, the data are useful to investigate also other questions on the sub-national diffusion of COVID-19. The information used to build this dataset was drawn from a variety of sources in order to cover four major areas of interest: health outcomes of the pandemic (COVID-19 cases and deaths), international air travel (number of incoming air passengers, centrality of local airports in the global airline network and air travel limitation policies), population mixing and government policy responses, and pre-pandemic area characteristics (socioeconomic, demographic, public health and co-morbidity). A complete list of sources can be found in the “Data sources” Pdf document attached. Please cite as: Recchi, E., A. Ferrara, A. Rodríguez Sánchez, E. Deutschmann, L. Gabrielli, S. Iacus, L. Bastiani, S. Spyratos & M. Vespe. 2022. The Impact of Air Travel on the Precocity and Severity of Covid-19 Deaths in Sub-National Areas across 45 Countries. Scientific Reports 12: 16522. https://doi.org/10.1038/s41598-022-20263-y
description: {"references": ["Recchi, E., A. Ferrara, A. Rodr\u00edguez S\u00e1nchez, E. Deutschmann, L. Gabrielli, S. Iacus, L. Bastiani, S. Spyratos & M. Vespe. 2022. The Impact of Air Travel on the Precocity and Severity of Covid-19 Deaths in Sub-National Areas across 45 Countries. Scientific Reports 12: 16522. https://doi.org/10.1038/s41598-022-20263-y"]}
DOI: 10.6084/m9.figshare.21975419
title: Microbiota raw data.csv

description: This is a raw data of a sequencing analysis.
DOI: 10.15151/esrf-es-1023807621
title: Role of bismuth doping on the electronic bandgap of hybrid perovskites

description: We propose to perform high-resolution fluorescence-detected XANES (HERFD-XANES) at the Pb and Bi L3 edges to clarify how Bi3+ heterovalent doping changes the electronic structure and electron transport properties of a one-dimensional hybrid halide pseudo-perovskite, (TMSO)PbI3 (TMSO = (CH3)3SO+), either undoped, lightly or heavily doped. In this way, we will get helpful information about the doping-electron properties relationship and, ultimately, about the fundamental understanding of hybrid perovskites in thermoelectric or optoelectronic devices.
DOI: 10.15151/esrf-es-1022934856
title: Characterization of unusual orbital configuration and possible low-energy orbital excitations in CuSb2O6 single crystals

description: The electronic configuration of Cu (3d9) ions in low-dimensional cuprates is such that the electron hole is generally found in the eg 3d(x2-y2)-orbital instead of the 3d(3z2-r2). Remarkably, the quasi-1D Mott-insulator CuSb2O6 shows fairly regular CuO6 octahedra that seem to promote a close competition between the 3z2-r2 and x2-y2 levels that leads to a unusual orbital ordering with mixed character. This mixed character orbital ordering still lacks experimental cerification. Therefore, we propose to establish this unusual orbital ordering in CuSb2O6 by a series of momentum dependent RIXS experiments. Additionally, this unusual orbital configuration may provide new pathways for electron-phonon interaction in cuprates. Indeed, our group reported evidence by Raman scattering of low-energy electronic excitations in CuSb2O6 single crystals that strongly interact with phonons of similar energy that also lacks experimental verification by RIXS
DOI: 10.5281/zenodo.7583900
title: Sea urchin roe enahncement data

description: Data set showing gonad index results for enhancement of sea urchins from four populations over three separate trials
DOI: 10.5281/zenodo.7376915
title: Sea urchin roe enahncement data

description: Data set showing gonad index results for enhancement of sea urchins from four populations over three separate trials
DOI: 10.5519/qd.dq303kjb
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5283/epub.53636
title: Data archive of "Note Taking in the Digital Age – Towards a Ubiquitous Pen Interface"

description: Dies sind die Daten zur Dissertation "Note Taking in the Digital Age – Towards a Ubiquitous Pen Interface"
DOI: 10.17632/6wtj4rsm5h.1
title: Transcriptions from further education teachers use of emotions

description: The data is transcriptions of two further education teachers use of emotions in the light of stressors they encounter in the workplace -colleges
DOI: 10.34740/kaggle/dsv/4918456
title: Elon Musk Tweets
DOI: 10.25502/8w30-9q35/d
title: Palliative Distribution for Tomato Farmers

description: The Nigerian Covid-19 Action Recovery and Economic Stimulus (N-CARES) project aims to protect the livelihoods and food security of poor and vulnerable farmers. The advent of COVID – 19 pandemic changed a whole lot of dynamics in the world and calls for a drastic action to address food need for the entire populace especially, with the world on the brink of food crisis. Oyo State Government in the light of the above, constituted the Oyo State Taskforce on Food Security Emergency (a subset of the Oyo State COVID19 Taskforce) and saddled them to come up with strategies to managing the impending food security issue in the state as a result of the effects of the COVID – 19 pandemics. One of the approaches utilized was addressing both medium and long term responses to food security emergency through food production, processing to consumption in targeted food crops which includes cassava, yam, maize, cowpea and soybean with special emphasis on tomato cultivation with the view to pitch the state on the path of self-sufficiency in its production and, reduce the influx of tomato and its value added products from other states into Oyo state.
DOI: 10.6084/m9.figshare.21975389
title: meta_full_dataset_3omics.csv

description: Metadata of multiomics datasets in Quartet project, including transcriptomics, proteomics, and metabolomics datasets from multiple labs, platforms, protocols, and batches were obtained, comprising a total of 252 RNA libraries from 21 batches, 312 protein libraries from 26 batches, and 204 metabolite libraries from 17 batches.
DOI: 10.6084/m9.figshare.21975389.v2
title: meta_full_dataset_3omics.csv

description: Metadata of multiomics datasets in Quartet project, including transcriptomics, proteomics, and metabolomics datasets from multiple labs, platforms, protocols, and batches were obtained, comprising a total of 252 RNA libraries from 21 batches, 312 protein libraries from 26 batches, and 204 metabolite libraries from 17 batches.
DOI: 10.6084/m9.figshare.21975389.v1
title: meta_full_dataset_3omics.csv

description: Metadata of multiomics datasets in Quartet project, including transcriptomics, proteomics, and metabolomics datasets from multiple labs, platforms, protocols, and batches were obtained, comprising a total of 252 RNA libraries from 21 batches, 312 protein libraries from 26 batches, and 204 metabolite libraries from 17 batches.
DOI: 10.5281/zenodo.7583978
title: GP-net: Grasp Proposal for Mobile Manipulators

description: This dataset includes all trained models and data to use and replicate our work for GP-net (under review for ICRA 2023).<br> <br> The pre-trained model for using GP-net on a PAL TIAGo mobile manipulator with a parallel jaw gripper is available in GP-net_model_pretrained.zip. It can be used with our gpnet-ros repository.<br> <br> If you want to use our dataset and train an alternative network architecture from scratch, use GP-net_training_data.zip. You can use it with the GP-net repository to train models. If you want to run simulation experiments with your trained model, download GP-net_simulation_data.zip for the URDFs of the test objects and pal gripper.<br> <br> If you want to generate a new dataset for an alternative gripper, you can use the gpnet-data repository, which is based on DexNet2.0. The docker image to run the code is available here under gpnet-data_docker_image.tar
description: {"references": ["A. Konrad, J. McDonald and R. Villing, \"GP-net: Grasp Proposal for Mobile Manipulators,\" under review."]}
DOI: 10.5281/zenodo.7583957
title: Table of bio's

description: This in exhaustive data tabel is used for storing and organizing all the actors and organizations that take up a central role in my research project. The table will be completed throughout the course of the project and aims the give an insight to the most of the relevant actors in this research topic.
DOI: 10.5281/zenodo.7583956
title: Table of bio's

description: This in exhaustive data tabel is used for storing and organizing all the actors and organizations that take up a central role in my research project. The table will be completed throughout the course of the project and aims the give an insight to the most of the relevant actors in this research topic.
DOI: 10.5281/zenodo.7491970
title: SampEn, FuzzyEn and DistrEn of HRV in AB and SCI: dataset

description: RRI Segments of 512 heartbeats from the enrolled volunteers (raw data)
DOI: 10.5281/zenodo.7491969
title: SampEn, FuzzyEn and DistrEn of HRV in AB and SCI: dataset

description: RRI Segments of 512 heartbeats from the enrolled volunteers (raw data)