cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1375412.v1
title: Supp_Table3

description: Differentially variable methylated regions in the initial tumor vs first recurrence. Abbreviations: gene_assoc: genes IDs; hg19coord: human genome coordinate; no.probes: number of probes; minpval: minimal p-value; meanpval: mean p-value; maxbetafc: maximum beta fold-change.
DOI: 10.6084/m9.figshare.1375407
title: Gaussian Job Archive for C2H18BLiO6

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1375410.v1
title: Supp_Table2

description: Supp Table 2 Differentially methylated gene regions in the initial tumor vs first recurrence. Abbreviations: gene_assoc: genes IDs; hg19coord: human genome coordinate; no.probes: number of probes; minpval: minimal p-value; meanpval: mean p-value; maxbetafc: maximum beta fold-change.
DOI: 10.6084/m9.figshare.1375406
title: English Wikipedia Quality Asssessment Dataset

description: Datasets of articles and their associated quality assessment rating from the English Wikipedia. Each dataset is self-contained as it also includes all content (wiki markup) associated with a given revision. The datasets have been split into a 90% training set and 10% test set using a stratified random sampling strategy.The 2017 dataset is the preferred dataset to use, contains 32,460 articles, and was gathered on 2017/09/10. The 2015 dataset is maintained for historic reference, and contains 30,272 articles gathered on 2015/02/05.<br>The articles were sampled from six of English Wikipedia's seven assessment classes, with the exception of the Featured Article class, which contains all (2015 dataset) or almost all (2017 dataset) articles in that class at the time. Articles are assumed to belong to the highest quality class they are rated as and article history has been mined to find the appropriate revision associated with a given quality rating. Due to the low usage of A-class articles, this class is not part of the datasets. For more details, see "The Success and Failure of Quality Improvement Projects in Peer Production Communities" by Warncke-Wang et al. (CSCW 2015), linked below. These datasets have been used in training the wikiclass Python library machine learner, also linked below.
DOI: 10.6084/m9.figshare.1375407.v1
title: Gaussian Job Archive for C2H18BLiO6

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1375395
title: Figures 2 and 3 of Manfre and Simon

description: Original and published figures for Figures 2 and 3 of Manfre and Simon
DOI: 10.6084/m9.figshare.1375395.v1
title: Figures 2 and 3 of Manfre and Simon

description: Original and published figures for Figures 2 and 3 of Manfre and Simon
DOI: 10.6084/m9.figshare.1375394
title: Raw Data in German: Aerobic Capacity, Physical Activity and Metabolic Risk Factors in Firefighters Compared with Police Officers and Sedentary Clerks

description: This study sought to examine the association between the physical work environment and physiological performance measures, physical activity levels and metabolic parameters among German civil servants. A main focus in this study was to examine the group differences and not to measure the absolute values in an occupational group.
DOI: 10.6084/m9.figshare.1375408.v1
title: Gaussian Job Archive for C2H18BLiO6

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1375392
title: Dataset: METS Aerobic Capacity, Physical Activity and Metabolic Risk Factors in Firefighters Compared with Police Officers and Sedentary Clerks

description: This study sought to examine the association between the physical work environment and physiological performance measures, physical activity levels and metabolic parameters among German civil servants. A main focus in this study was to examine the group differences and not to measure the absolute values in an occupational group.
DOI: 10.6084/m9.figshare.1375392.v2
title: Dataset: METS Aerobic Capacity, Physical Activity and Metabolic Risk Factors in Firefighters Compared with Police Officers and Sedentary Clerks

description: This study sought to examine the association between the physical work environment and physiological performance measures, physical activity levels and metabolic parameters among German civil servants. A main focus in this study was to examine the group differences and not to measure the absolute values in an occupational group.
DOI: 10.6084/m9.figshare.1375394.v2
title: Raw Data in German: Aerobic Capacity, Physical Activity and Metabolic Risk Factors in Firefighters Compared with Police Officers and Sedentary Clerks

description: This study sought to examine the association between the physical work environment and physiological performance measures, physical activity levels and metabolic parameters among German civil servants. A main focus in this study was to examine the group differences and not to measure the absolute values in an occupational group.
DOI: 10.6084/m9.figshare.1375378
title: MAP OF SIGNS AND SYMPTOMS TO CLASSIFY DIABETIC POLYNEUROPATHY

description: The dataset contains clinical information from a diabetic patients database from the Laboratory of Biomechanics of Human motion and posture from the School of Medicine of the University of Sao Paulo. Clinical data as: different symptoms of polineuropathy, sensorial tests scores (tactile, vibration perception), foot deformations, presence of callus, cracks, plantar ulcers and foot amputations.
DOI: 10.6084/m9.figshare.1375392.v1
title: Aerobic Capacity, Physical Activity and Metabolic Risk Factors in Firefighters Compared with Police Officers and Sedentary Clerks

description: This study sought to examine the association between the physical work environment and physiological performance measures, physical activity levels and metabolic parameters among German civil servants. A main focus in this study was to examine the group differences and not to measure the absolute values in an occupational group.
DOI: 10.6084/m9.figshare.1375394.v1
title: Aerobic Capacity, Physical Activity and Metabolic Risk Factors in Firefighters Compared with Police Officers and Sedentary Clerks

description: This study sought to examine the association between the physical work environment and physiological performance measures, physical activity levels and metabolic parameters among German civil servants. A main focus in this study was to examine the group differences and not to measure the absolute values in an occupational group.
DOI: 10.6084/m9.figshare.1375365
title: Gaussian Job Archive for C2H12BLiO3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1375367
title: Gaussian Job Archive for C2H12BLiO3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1375367.v1
title: Gaussian Job Archive for C2H12BLiO3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1375378.v1
title: MAP OF SIGNS AND SYMPTOMS TO CLASSIFY DIABETIC POLYNEUROPATHY

description: The dataset contains clinical information from a diabetic patients database from the Laboratory of Biomechanics of Human motion and posture from the School of Medicine of the University of Sao Paulo. Clinical data as: different symptoms of polineuropathy, sensorial tests scores (tactile, vibration perception), foot deformations, presence of callus, cracks, plantar ulcers and foot amputations.
DOI: 10.6084/m9.figshare.1375363
title: Supp Table 3

description: Differentially variable methylated regions in the initial tumor vs first recurrence.
DOI: 10.6084/m9.figshare.1375364
title: Supp_Table2

description: Differentially methylated gene regions in the initial tumor vs first recurrence.
DOI: 10.6084/m9.figshare.1375362
title: Supp_Table4

description: Enriched GO processes of promoter gene regions using GOstats differentially methylated in the initial tumor vs recurrence.
DOI: 10.6084/m9.figshare.1375365.v1
title: Gaussian Job Archive for C2H12BLiO3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1375361
title: Supp_Table5

description: Enriched GO processes of promoter gene regions using GOstats differentially methylated in the first recurrence vs second recurrence.
DOI: 10.6084/m9.figshare.1375362.v1
title: Supp_Table4

description: Enriched GO processes of promoter gene regions using GOstats differentially methylated in the initial tumor vs recurrence.
DOI: 10.6084/m9.figshare.1375363.v1
title: Supp Table 3

description: Differentially variable methylated regions in the initial tumor vs first recurrence.
DOI: 10.6084/m9.figshare.1375364.v1
title: Supp_Table2

description: Differentially methylated gene regions in the initial tumor vs first recurrence.
DOI: 10.6084/m9.figshare.1375348
title: Gaussian Job Archive for C2H14BLiO4

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1375361.v1
title: Supp_Table5

description: Enriched GO processes of promoter gene regions using GOstats differentially methylated in the first recurrence vs second recurrence.
DOI: 10.6084/m9.figshare.1375305
title: Nutritional content of alpine grassland in Gran Paradiso National Park, 2012 dataset

description: <strong>Abstract</strong> This dataset has been collected to check the predictability of forage quality of alpine grasslands from remotely sensed data. We investigated this relationship in the Gran Paradiso National Park (Western Italian Alps). In 2012 we collected a total of 142 grass samples within 19 experimental plots every two weeks during the whole growing season. From these samples we estimated biomass, relative and available crude protein, fiber (neutral detergent, acid detergent and lignin) and fiber digestibility (at 24 and 240 hours).Data were used in the following publication: L. Ranghetti, B. Bassano, G. Bogliani, A. Palmonari, A. Formigoni, L. Stendardi and A. von Hardenberg (2016). «MODIS time series contribution for the estimation of nutritional properties of alpine grassland». European Journal of Remote Sensing, 49: 691-718, doi: http://dx.doi.org/10.5721/EuJRS20164936. <strong>Data structure</strong> field2012.csv int_id : int record ID (serial)<br>text_id: Factor w/ 142 levels record ID (string)<br>group : Factor w/ 18 levels group of the harvest (number of repetition)<br>doy : int day of the year of the harvest<br>plot : Factor w/ 19 levels plot name (matching with plot.2012$plot)<br>AB : num Aboveground Biomass (g)<br>H2O : num Water content (ratio between AB and fresh weight)<br>CP : num Crude Protein (% of total weight)<br>NDF : num Neutral Detergent fiber (% of total weight)<br>ADF : num Acid Detergent fiber (% of total weight)<br>ADL : num Lignin (% of total weight)<br>dNDF24 : num NDF digestibility after 24 hours (% of NDF)<br>dNDF240: num NDF digestibility after 240 hours (% of NDF) field2012_heights.csv int_id : int record ID (serial)<br>text_id: Factor w/ 142 levels record ID (string)<br>group : Factor w/ 18 levels group of the harvest (number of repetition)<br>doy : int day of the year of the harvest<br>plot : Factor w/ 19 levels plot name (matching with plot.2012$plot)<br>h_tot : num Mean height of total biomass (cm)<br>h_green: num Mean height of green biomass (cm) plots2012.dbf plot : Factor w/ 19 levels string code which identify single plots<br>elevation: int elevation of the plot, estracted from the Tinitaly 10m DEM (see text)<br>aspect : int aspect of the plot, derived from the elevation map<br>Localita : Factor w/ 19 levels descriptive location of plots (in Italian)
DOI: 10.6084/m9.figshare.1375306
title: Nutritional content of alpine grassland in Gran Paradiso National Park, 2013 dataset

description: <strong>Abstract</strong> This dataset has been collected to validate the predictability of forage quality of alpine grasslands from remotely sensed data. We investigated this relationship in the Gran Paradiso National Park (Western Italian Alps). In 2013 we collected a total of 112 grass samples within random plots, from June to July. From these samples we estimated biomass, relative and available crude protein, fiber (neutral detergent, acid detergent and lignin) and fiber digestibility (at 24 and 240 hours).Data were used in the following publication: L. Ranghetti, B. Bassano, G. Bogliani, A. Palmonari, A. Formigoni, L. Stendardi and A. von Hardenberg (2016). «MODIS time series contribution for the estimation of nutritional properties of alpine grassland». <i>European Journal of Remote Sensing</i>, 49: 691-718, doi: http://dx.doi.org/10.5721/EuJRS20164936. <strong>Data structure</strong> field2013.csv int_id : int record ID (serial)<br>text_id: Factor w/ 142 levels record ID (string)<br>group : Factor w/ 18 levels group of the harvest (number of repetition)<br>doy : int day of the year of the harvest<br>plot : Factor w/ 19 levels plot name (matching with plot.2012$plot)<br>AB : num Aboveground Biomass (g)<br>H2O : num Water content (ratio between AB and fresh weight)<br>CP : num Crude Protein (% of total weight)<br>NDF : num Neutral Detergent fiber (% of total weight)<br>ADF : num Acid Detergent fiber (% of total weight)<br>ADL : num Lignin (% of total weight)<br>dNDF24 : num NDF digestibility after 24 hours (% of NDF)<br>dNDF240: num NDF digestibility after 240 hours (% of NDF) plots2013.dbf plot : Factor w/ 19 levels string code which identify single plots<br>elevation: int elevation of the plot, estracted from the Tinitaly 10m DEM (see text)<br>aspect : int aspect of the plot, derived from the elevation map
DOI: 10.6084/m9.figshare.1375348.v1
title: Gaussian Job Archive for C2H14BLiO4

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1375298
title: Gaussian Job Archive for C2H12BLiO3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1375298.v1
title: Gaussian Job Archive for C2H12BLiO3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1375305.v13
title: Nutritional content of alpine grassland in Gran Paradiso National Park, 2012 dataset

description: <strong>Abstract</strong> This dataset has been collected to check the predictability of forage quality of alpine grasslands from remotely sensed data. We investigated this relationship in the Gran Paradiso National Park (Western Italian Alps). In 2012 we collected a total of 142 grass samples within 19 experimental plots every two weeks during the whole growing season. From these samples we estimated biomass, relative and available crude protein, fiber (neutral detergent, acid detergent and lignin) and fiber digestibility (at 24 and 240 hours).Data were used in the following publication: L. Ranghetti, B. Bassano, G. Bogliani, A. Palmonari, A. Formigoni, L. Stendardi and A. von Hardenberg (2016). «MODIS time series contribution for the estimation of nutritional properties of alpine grassland». European Journal of Remote Sensing, 49: 691-718, doi: http://dx.doi.org/10.5721/EuJRS20164936. <strong>Data structure</strong> field2012.csv int_id : int record ID (serial)<br>text_id: Factor w/ 142 levels record ID (string)<br>group : Factor w/ 18 levels group of the harvest (number of repetition)<br>doy : int day of the year of the harvest<br>plot : Factor w/ 19 levels plot name (matching with plot.2012$plot)<br>AB : num Aboveground Biomass (g)<br>H2O : num Water content (ratio between AB and fresh weight)<br>CP : num Crude Protein (% of total weight)<br>NDF : num Neutral Detergent fiber (% of total weight)<br>ADF : num Acid Detergent fiber (% of total weight)<br>ADL : num Lignin (% of total weight)<br>dNDF24 : num NDF digestibility after 24 hours (% of NDF)<br>dNDF240: num NDF digestibility after 240 hours (% of NDF) field2012_heights.csv int_id : int record ID (serial)<br>text_id: Factor w/ 142 levels record ID (string)<br>group : Factor w/ 18 levels group of the harvest (number of repetition)<br>doy : int day of the year of the harvest<br>plot : Factor w/ 19 levels plot name (matching with plot.2012$plot)<br>h_tot : num Mean height of total biomass (cm)<br>h_green: num Mean height of green biomass (cm) plots2012.dbf plot : Factor w/ 19 levels string code which identify single plots<br>elevation: int elevation of the plot, estracted from the Tinitaly 10m DEM (see text)<br>aspect : int aspect of the plot, derived from the elevation map<br>Localita : Factor w/ 19 levels descriptive location of plots (in Italian)
DOI: 10.6084/m9.figshare.1375296
title: ClinicalTrials.gov - 101 studies found for: saxagliptin (search date: April 12, 2015)

description: Google spreadsheet open (URL below)
DOI: 10.6084/m9.figshare.1375305.v12
title: Nutritional content of alpine grassland in Gran Paradiso National Park, 2012 dataset

description: <strong>Abstract</strong> This dataset has been collected to check the predictability of forage quality of alpine grasslands from remotely sensed data. We investigated this relationship in the Gran Paradiso National Park (Western Italian Alps). In 2012 we collected a total of 142 grass samples within 19 experimental plots every two weeks during the whole growing season. From these samples we estimated biomass, relative and available crude protein, fiber (neutral detergent, acid detergent and lignin) and fiber digestibility (at 24 and 240 hours). <strong>Data structure</strong> field2012.csv int_id : int record ID (serial)<br>text_id: Factor w/ 142 levels record ID (string)<br>group : Factor w/ 18 levels group of the harvest (number of repetition)<br>doy : int day of the year of the harvest<br>plot : Factor w/ 19 levels plot name (matching with plot.2012$plot)<br>AB : num Aboveground Biomass (g)<br>H2O : num Water content (ratio between AB and fresh weight)<br>CP : num Crude Protein (% of total weight)<br>NDF : num Neutral Detergent fiber (% of total weight)<br>ADF : num Acid Detergent fiber (% of total weight)<br>ADL : num Lignin (% of total weight)<br>dNDF24 : num NDF digestibility after 24 hours (% of NDF)<br>dNDF240: num NDF digestibility after 240 hours (% of NDF) field2012_heights.csv int_id : int record ID (serial)<br>text_id: Factor w/ 142 levels record ID (string)<br>group : Factor w/ 18 levels group of the harvest (number of repetition)<br>doy : int day of the year of the harvest<br>plot : Factor w/ 19 levels plot name (matching with plot.2012$plot)<br>h_tot : num Mean height of total biomass (cm)<br>h_green: num Mean height of green biomass (cm) plots2012.dbf plot : Factor w/ 19 levels string code which identify single plots<br>elevation: int elevation of the plot, estracted from the Tinitaly 10m DEM (see text)<br>aspect : int aspect of the plot, derived from the elevation map<br>Localita : Factor w/ 19 levels descriptive location of plots (in Italian)
DOI: 10.6084/m9.figshare.1375306.v1
title: Nutritional content of alpine grassland in Gran Paradiso National Park, 2013 dataset

description: <strong>Abstract</strong> This dataset has been collected to validate the predictability of forage quality of alpine grasslands from remotely sensed data. We investigated this relationship in the Gran Paradiso National Park (Western Italian Alps). In 2013 we collected a total of 112 grass samples within random plots, from June to July. From these samples we estimated biomass, relative and available crude protein, fiber (neutral detergent, acid detergent and lignin) and fiber digestibility (at 24 and 240 hours). <strong>Data structure</strong> field2013.csv int_id : int record ID (serial)<br>text_id: Factor w/ 142 levels record ID (string)<br>group : Factor w/ 18 levels group of the harvest (number of repetition)<br>doy : int day of the year of the harvest<br>plot : Factor w/ 19 levels plot name (matching with plot.2012$plot)<br>AB : num Aboveground Biomass (g)<br>H2O : num Water content (ratio between AB and fresh weight)<br>CP : num Crude Protein (% of total weight)<br>NDF : num Neutral Detergent fiber (% of total weight)<br>ADF : num Acid Detergent fiber (% of total weight)<br>ADL : num Lignin (% of total weight)<br>dNDF24 : num NDF digestibility after 24 hours (% of NDF)<br>dNDF240: num NDF digestibility after 240 hours (% of NDF) plots2013.dbf plot : Factor w/ 19 levels string code which identify single plots<br>elevation: int elevation of the plot, estracted from the Tinitaly 10m DEM (see text)<br>aspect : int aspect of the plot, derived from the elevation map
DOI: 10.6084/m9.figshare.1375242
title: Análise da incidência de filas em um serviço drive-thru de uma empresa de fast-food

description: O presente artigo analisou a formação de filas em uma empresa multinacional de fast-food, localizada no município de Belém – PA, avaliando as frequências de chegada a cada minuto e o tempo de atendimento decorrido da escolha da refeição até o momento de recebimento do produto solicitado. Testaram-se as distribuições de Poisson e Erlang-k para os dados de chegada e os dados de atendimento. Com isso, determinaram-se os parâmetros da fila, os quais foram analisados de acordo com o contexto de filas no estabelecimento. Como forma de análise, verificou-se a taxa de ocupação do servidor, o tempo médio de espera da fila, o tamanho médio da fila, o tempo médio de espera no sistema, o tamanho médio do sistema e a probabilidade do sistema estar vazio a fim de caracterizar o sistema de filas de acordo com o modelo proposto. Como resultados, foi possível identificar um nível considerável da utilização do servidor, entretanto sem sobrecarregamento do mesmo, e um número de clientes em fila a ser observado, uma vez que, um automóvel ocupa espaço considerável no sistema, e o serviço de drive-thru deve proporcionar um atendimento mais rápido possível.
DOI: 10.6084/m9.figshare.1375296.v1
title: ClinicalTrials.gov - 101 studies found for: saxagliptin (search date: April 12, 2015)

description: Google spreadsheet open (URL below)
DOI: 10.6084/m9.figshare.1375241
title: Utilização de técnicas de previsão de demanda para análise do crescimento da frota de veículos no Município de Marabá / Pa

description: O objetivo principal do trabalho foi analisar o quantitativo futuro de veículos no Município de Marabá, para os anos de 2014 a 2020, tornando possível que os órgãos competentes possam realizar um planejamento viável para atender as necessidades de infraestrutura demandadas futuramente pela cidade. Os dados foram coletados e tratados de acordo com o objetivo apresentado aplicando-se as técnicas de Holt, Bronw e Regressão Linear para prever a demanda. Percebeu-se que o trafego de veículos no Município analisado vem crescendo a cada ano, em uma média de 10% a 11%. A principal contribuição do artigo foi, além de demostrar o uso das técnicas de previsão de demanda, dar suporte para o gestores municipais no planejamento de estratégias para melhoria de infraestrutura no Município.