cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25824/redu/vxzkki
title: Avaliação da estabilidade de cor e microdureza seccional em infiltrantes resinosos

description: O objetivo do estudo foi avaliar a influência da incorporação de nanohidroxiapatita 10% em infiltrante resinoso experimental, na estabilidade de cor e microdureza seccional, quando comparado ao infiltrante experimental, ao infiltrante resinoso comercial Icon® e às superfícies de esmalte não-tratadas. Foram obtidos 135 blocos de esmalte de dentes bovinos no padrão 4x4 mm, foram submetidos a ciclos desmineralização/remineralização (des-re) durante 8 dias e, posteriormente, divididos em 5 grupos: H: hígido; ICL: lesão de cárie inicial; I: Icon®; E: experimental; EH: experimental contendo nanohidroxiapatita 10%. Em seguida, os grupos foram infiltrados ou não de acordo com os respectivos grupos. Para avaliação de cor (n=15) foram obtidos valores CIEL*a*b* por meio de espectrofotômetro nos tempos: T0 (antes da imersão), T1 (14 dias após imersão em café) e T2 (28 dias após). Para o manchamento foi utilizado 1,5l de solução de café, trocado diariamente durante 28 dias e foram calculados valores de ∆L*, ∆a*, ∆b* e a variação de cor (∆E00) através da fórmula CIEDE2000. Para a microdureza seccional (Knoop) foram obtidas metades dos espécimes (n=12) e realizadas 30 leituras em cada amostra: 3 colunas distantes 200 μm entre si, e cada uma contendo 10 leituras a cada 30 μm a partir da superfície. Os dados obtidos de microdureza nos grupos ICL, I, E e EH foram aplicados na fórmula para cálculo de área de lesão (ΔS). Para a Microscopia Óptica de Luz Polarizada foram utilizadas 5 metades de cada grupo (n=5) e foram polidas até atingirem a espessura de 0,1mm e levadas para a Microscopia. Para estabilidade de cor foi aplicado o teste Shapiro-Wilk, análise de variância (ANOVA two-way), seguido pelo teste Post Hoc de Bonferroni e Dunnet, e para ΔS foi aplicado ANOVA one-way seguido pelo Post Hoc de Tukey, nível de significância estabelecido em 5% para ambos. Nos resultados de estabilidade de cor, houve diferença significativa entre os tempos de 14 e 28 dias, ICL diferiu estatisticamente de todos os grupos tratados (∆L*, ∆a*, ∆b*, ∆E00) independente do tempo, I, E e EH tiveram comportamentos semelhantes e EH diferiu de I em ∆L*. Considerando ΔS, ICL demonstrou diferença significativa em relação aos grupos I e EH, mas não diferiu de E. Concluindo, os grupos experimentais de infiltrantes resinosos tiveram desempenho similar ao do comercial quanto à variação de cor, porém os três tiveram uma variação maior do que a de superfícies não tratadas; na área de lesão, foi possível notar que os I e EH apresentaram menor perda mineral, sugerindo um reforço na estrutura desmineralizada.
DOI: 10.7284/152271
title: Multiplexed data collected during research cruise LMG1006 using a USAP Winch instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152265
title: Fluorometer data collected during research cruise LMG1006 using a WETLabs ECO-FL instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152268
title: Oxygen data collected during research cruise LMG1006 using a AANDERAA Optode 3975 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152269
title: pCO2 (Partial Pressure of Carbon Dioxide) data collected during research cruise LMG1006 using a LDEO pCO2 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152270
title: Radiometer data collected during research cruise LMG1006 using a Biospherical GUV-2511 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152267
title: Singlebeam Echosounder data collected during research cruise LMG1006 using a Knudsen 3260 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152272
title: Water Temperature data collected during research cruise LMG1006 using a SeaBird SBE-38 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152273
title: TSG (Thermosalinograph) data collected during research cruise LMG1006 using a SeaBird SBE-45 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.19771186
title: AutoMated tool for Antimicrobial resistance Surveillance System version 2.0 (AMASSv2.0)

description: Version 2.0Release date: 15th September 2023This version fixes a code issue present in the release from 16th November 2022, which was causing a failure to generate the complete Annex B on page 42.This version fixes a typo in the R code of the release 16th August 2022 that caused inaccurate estimations of the proportion of patients with non-susceptible isolates against levofloxacin and carbapenem drugs. In addition, this version also allows users to choose whether an organism included for the AMR Surveillance Report is <i>Acinetobacter</i> spp. or <i>Acinetobacter baumanii</i>.<br>The current version of the AMASS application provides additional reports on notifiable bacterial diseases in Annex A and on data indicators (including proportion of contaminants and discordant AST results) in Annex B for the "microbiology_data" file that is used to generate this report. A careful review of the Annex B could help readers and data owners to identify potential errors in the microbiology data used to generate the report.<br>AutoMated tool for Antimicrobial resistance Surveillance System (AMASS) was developed as an offline, open−access and easy−to−use application that allows a hospital to perform data analysis independently and generate isolate−based and sample−based surveillance reports stratified by infection origin from routinely collected electronic databases. The application was built in R, which is a free software environment. The application has been placed within a user−friendly interface that only requires the user to double−click on the application icon.<br>AMASS performs data analysis and generates reports automatically. The raw data files required are hospital admission and microbiology databases. Firstly, the application cleans the microbiology data file and produces isolate−based and sample−based surveillance reports without stratification by infection origin. Secondly, the application then merges the microbiology and hospital admission data files, analyzes the merged data, and produces an isolated−based and sample−based surveillance reports with stratification by infection origin. Finally, the application then perform a statistical analysis to estimate all−cause mortality of patients with AMR infection and mortality attributable to AMR, which are automatically added into the AMR surveillance report. AMASS aims to support the local hospitals including those that have only microbiology results recorded in electronic formats. For example, only isolate−based surveillance report without stratification by infection origin will be generated, if only microbiology data file is available and hospital admission data file is not available in the computer.<br>This is the AMASS.zip containing the AMASS application. Further, details on how to use the application can be found at https://www.amass.website.
DOI: 10.6084/m9.figshare.19771186.v4
title: AutoMated tool for Antimicrobial resistance Surveillance System version 2.0 (AMASSv2.0)

description: Version 2.0 Release date: 16th November 2022 <br> This version fixes a typo in the R code of the release 16th August 2022 that caused inaccurate estimations of the proportion of patients with non-susceptible isolates against levofloxacin and carbapenem drugs. In addition, this version also allows users to choose whether an organism included for the AMR Surveillance Report is <em>Acinetobacter</em> spp. or <em>Acinetobacter baumanii</em>. <br> The current version of the AMASS application provides additional reports on notifiable bacterial diseases in Annex A and on data indicators (including proportion of contaminants and discordant AST results) in Annex B for the "microbiology_data" file that is used to generate this report. A careful review of the Annex B could help readers and data owners to identify potential errors in the microbiology data used to generate the report. <br> AutoMated tool for Antimicrobial resistance Surveillance System (AMASS) was developed as an offline, open−access and easy−to−use application that allows a hospital to perform data analysis independently and generate isolate−based and sample−based surveillance reports stratified by infection origin from routinely collected electronic databases. The application was built in R, which is a free software environment. The application has been placed within a user−friendly interface that only requires the user to double−click on the application icon. <br> AMASS performs data analysis and generates reports automatically. The raw data files required are hospital admission and microbiology databases. Firstly, the application cleans the microbiology data file and produces isolate−based and sample−based surveillance reports without stratification by infection origin. Secondly, the application then merges the microbiology and hospital admission data files, analyzes the merged data, and produces an isolated−based and sample−based surveillance reports with stratification by infection origin. Finally, the application then perform a statistical analysis to estimate all−cause mortality of patients with AMR infection and mortality attributable to AMR, which are automatically added into the AMR surveillance report. AMASS aims to support the local hospitals including those that have only microbiology results recorded in electronic formats. For example, only isolate−based surveillance report without stratification by infection origin will be generated, if only microbiology data file is available and hospital admission data file is not available in the computer. <br> This is the AMASS.zip containing the AMASS application. Further, details on how to use the application can be found at https://www.amass.website.
DOI: 10.7284/143421
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise LMG1103 using a Hawaii UHDAS instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143367
title: Multiplexed data collected during research cruise LMG1103 using a USAP Winch instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143368
title: Fluorometer data collected during research cruise LMG1103 using a WETLabs ECO-FL instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143369
title: Meteorological Station data collected during research cruise LMG1103 using a USAP RVDAS Metstation instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143370
title: Oxygen data collected during research cruise LMG1103 using a AANDERAA Optode 3975 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143371
title: pCO2 (Partial Pressure of Carbon Dioxide) data collected during research cruise LMG1103 using a LDEO pCO2 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143366
title: Radiometer data collected during research cruise LMG1103 using a Biospherical GUV-2511 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143373
title: Water Temperature data collected during research cruise LMG1103 using a SeaBird SBE-38 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143374
title: TSG (Thermosalinograph) data collected during research cruise LMG1103 using a SeaBird SBE-45 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143339
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise LMG1108 using a Hawaii UHDAS instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143333
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise LMG1108 using a SeaBird SBE-911+ instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143334
title: Expendable Probe data collected during research cruise LMG1108 using a Sippican MK21 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143335
title: Expendable Probe data collected during research cruise LMG1108 using a Sippican MK21 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143327
title: Meteorological Station data collected during research cruise LMG1108 using a USAP RVDAS Metstation instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143328
title: Oxygen data collected during research cruise LMG1108 using a AANDERAA Optode 3975 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143329
title: pCO2 (Partial Pressure of Carbon Dioxide) data collected during research cruise LMG1108 using a LDEO pCO2 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143325
title: Radiometer data collected during research cruise LMG1108 using a Biospherical GUV-2511 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143330
title: Singlebeam Echosounder data collected during research cruise LMG1108 using a Knudsen 3260 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143331
title: Water Temperature data collected during research cruise LMG1108 using a SeaBird SBE-38 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143332
title: TSG (Thermosalinograph) data collected during research cruise LMG1108 using a SeaBird SBE-45 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143324
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise LMG1109 using a Hawaii UHDAS instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143312
title: Fluorometer data collected during research cruise LMG1109 using a WETLabs ECO-FL instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143313
title: Meteorological Station data collected during research cruise LMG1109 using a USAP RVDAS Metstation instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143314
title: Oxygen data collected during research cruise LMG1109 using a AANDERAA Optode 3975 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143315
title: pCO2 (Partial Pressure of Carbon Dioxide) data collected during research cruise LMG1109 using a LDEO pCO2 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143311
title: Radiometer data collected during research cruise LMG1109 using a Biospherical GUV-2511 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143316
title: Singlebeam Echosounder data collected during research cruise LMG1109 using a Knudsen 3260 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143317
title: Water Temperature data collected during research cruise LMG1109 using a SeaBird SBE-38 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.22109165
title: Wood decomposition is increased by insect diversity, selection effects, and interactions between insects and microbes

description: The data is for the publication:Jia-Yun Zou, Marc W. Cadotte, Claus Bässler, Roland Brandl, Petr Baldrian, Werner Borken, Elisa Stengel, Ya-Huang Luo, Jörg Müller, Sebastian Seibold*. 2023. Wood decomposition is increased by insect diversity, selection effects, and interactions between insects and microbes. Ecology*corresponding author: sebastian.seibold@tu-dresden.de
DOI: 10.25824/redu/5vee88
title: experimental_results.zip

description: Contains the experimental results. There is a subfolder for each test instance, and within each subfolder, there are 31 files for each algorithm, containing the non-dominated solutions obtained in each of the 31 independent repetitions.
DOI: 10.25824/redu/6lpwnk
title: reference_sets.zip

description: Contains the reference sets, which are the best-known solutions for each test instance. Each file is structured as follows: each row contains an N-sized decision vector separated by semicolons, and the last values correspond to the objective function values. For example, if it is a bi-objective problem, consider the last two values; if it is a three-objective problem, consider the last three values, and so on.
DOI: 10.25824/redu/lvka25
title: test_instances.zip

description: Contains the test instances (TP1 to TP10) used in the experiments. For each test instance, three files are available: TP_k_F_m.txt, which contains the earnings of each decision variable for each scenario; TP_k_F_m_probabilities.txt, which contains the probability of occurrence for each scenario; and TP_k_F_m_weights.txt, which contains the generated weights for each decision variable. The value of k ranges from 1 to 10, and m ranges from 2 to 4.
DOI: 10.25824/redu/v6lmab
title: experimental_results.zip

description: Contains the experimental results. There is a subfolder for each test instance, and within each subfolder, there are 31 files for each algorithm, containing the non-dominated solutions obtained in each of the 31 independent repetitions.
DOI: 10.25824/redu/zhrdu2
title: source_code.zip

description: Contains the source code for the experimental setup, including the code for the algorithms and the scripts used to generate the figures.
DOI: 10.25824/redu/kf8hk6
title: Replication data for: a benchmark generator for ensemble-based discrete optimization

description: This package contains the datasets, experimental results and reference sets of the paper A benchmark generator for scenario-based discrete optimization. The following files are included: File test_instances.zip: contains the test instances (TP1 to TP10) used in the experiments. For each test instance, three files are available: TP_k_F_m.txt, which contains the earnings of each decision variable for each scenario; TP_k_F_m_probabilities.txt, which contains the probability of occurrence for each scenario; and TP_k_F_m_weights.txt, which contains the generated weights for each decision variable. The value of k ranges from 1 to 10, and m ranges from 2 to 4. File experimental_results.zip: contains the experimental results. There is a subfolder for each test instance, and within each subfolder, there are 31 files for each algorithm, containing the non-dominated solutions obtained in each of the 31 independent repetitions. File reference_sets.zip: contains the reference sets, which are the best-known solutions for each test instance. Each file is structured as follows: each row contains an N-sized decision vector separated by semicolons, and the last values correspond to the objective function values. For example, if it is a bi-objective problem, consider the last two values; if it is a three-objective problem, consider the last three values, and so on. File source_code.zip: contains the source code for the experimental setup, including the code for the algorithms and the scripts used to generate the figures.
DOI: 10.6084/m9.figshare.21922302.v3
title: ToTE: A global database on trees of the treeline ecotone

description: The database deals with the trees of the treeline ecotone worldwide. The ToTE (Trees of Treeline Ecotone) includes data on 227 tree species distributed across 34 mountain ranges of the world. The database on the global tree species richness of the treeline is based on systematic review of 1202 studies published from 1971-2022. The database follows the scientific nomenclature as per Plants of the World Online (2022), the mountain classification as per Global Mountain Biodiversity Assessment (GMBA) Mountain Inventory v_2.0 (2022) and the biome classification as per Koppen and provides the current conservation status of the taxa as per IUCN (2022) ver. 2
DOI: 10.7284/143294
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise LMG1111 using a Hawaii UHDAS instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143282
title: Multiplexed data collected during research cruise LMG1111 using a USAP Winch instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143284
title: Meteorological Station data collected during research cruise LMG1111 using a USAP RVDAS Metstation instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143285
title: Oxygen data collected during research cruise LMG1111 using a AANDERAA Optode 3975 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143286
title: pCO2 (Partial Pressure of Carbon Dioxide) data collected during research cruise LMG1111 using a LDEO pCO2 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143281
title: Radiometer data collected during research cruise LMG1111 using a Biospherical GUV-2511 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143287
title: Singlebeam Echosounder data collected during research cruise LMG1111 using a Knudsen 3260 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition