cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/jzypktvvs8.1
title: Data for: "Portfolio Management under Multiple Regimes: Strategies that Outperform the Market" published by RAC-Revista de Administração Contemporânea

description: The files refer to the paper "Portfolio Management under Multiple Regimes: Strategies that Outperform the Market", published by RAC-Revista de Administração Contemporânea. The time series were extracted from Economatica(c) database at COPPEAD Graduate School of Business - Federal University of Rio de Janeiro in 2018. The programs were created to solve a dynamic asset allocation problem for a single and multiple regime economy. The researcher can reproduce our results with these files. The results were promissing and our objective with this research is to open field for a broader application of regime swithing models in asset allocation worldwide.
DOI: 10.15468/eimsbg
title: A new species of Holophloeus Jordan (Coleoptera: Anthribidae) from eastern Madagascar with ecological notes on it and H. tuberosus (Fairmaire, 1897)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Trýzna, Miloš, Baňař, Petr (2020): A new species of Holophloeus Jordan (Coleoptera: Anthribidae) from eastern Madagascar with ecological notes on it and H. tuberosus (Fairmaire, 1897). Zootaxa 4732 (1): 79-98, DOI: https://doi.org/10.11646/zootaxa.4732.1.3
DOI: 10.15468/jslmbt
title: A new species of the genus Parapachymorpha Brunner von Wattenwyl, 1893 (Phasmida, Phasmatidae, Clitumninae) from Laos

description: This dataset contains the digitized treatments in Plazi based on the original journal article Jang, Chang-Moon, Bae, Yang ˗ Seop (2020): A new species of the genus Parapachymorpha Brunner von Wattenwyl, 1893 (Phasmida, Phasmatidae, Clitumninae) from Laos. Zootaxa 4732 (1): 196-200, DOI: https://doi.org/10.11646/zootaxa.4732.1.10
DOI: 10.15468/ooizkk
title: Neotropical Monogenoidea. 63. Atopogyrodactylus praecipuus gen. et sp. n. (Gyrodactylidae), an oviparous gyrodactylid from the external surface of a bristlenose catfish Ancistrus sp. (Siluriformes: Loricariidae) from the Rondônian Amazon, Brazil

description: This dataset contains the digitized treatments in Plazi based on the original journal article Kritsky, Delane C., Boeger, Walter A., Patella, Luciana (2020): Neotropical Monogenoidea. 63. Atopogyrodactylus praecipuus gen. et sp. n. (Gyrodactylidae), an oviparous gyrodactylid from the external surface of a bristlenose catfish Ancistrus sp. (Siluriformes: Loricariidae) from the Rondônian Amazon, Brazil. Zootaxa 4732 (1): 169-176, DOI: https://doi.org/10.11646/zootaxa.4732.1.8
DOI: 10.15468/thtv9j
title: Description of the immature stages of the Neotropical whirligig beetle Gyrinus (Neogyrinus) rozei Ochs, 1953 (Coleoptera: Gyrinidae) and first report of the parasitoid wasp Melanosmicra sp. (Hymenoptera: Chalcididae) on a Gyrinus species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Colpani, Daniara, Benetti, César João, Hamada, Neusa, Andrade-Souza, Vanderly, Schoeninger, Karine, Michat, Mariano C. (2020): Description of the immature stages of the Neotropical whirligig beetle Gyrinus (Neogyrinus) rozei Ochs, 1953 (Coleoptera: Gyrinidae) and first report of the parasitoid wasp Melanosmicra sp. (Hymenoptera: Chalcididae) on a Gyrinus species. Zootaxa 4732 (1): 99-116, DOI: https://doi.org/10.11646/zootaxa.4732.1.4
DOI: 10.15468/xhleyk
title: Uncovering a hidden diversity: a new species of freshwater shrimp Macrobrachium (Decapoda: Caridea: Palaemonidae) from Neotropical region (Brazil) revealed by morphological review and mitochondrial genes analyses

description: This dataset contains the digitized treatments in Plazi based on the original journal article Rossi, Natalia, Magalhães, Célio, Mesquita, Elis R., Mantelatto, Fernando L. (2020): Uncovering a hidden diversity: a new species of freshwater shrimp Macrobrachium (Decapoda: Caridea: Palaemonidae) from Neotropical region (Brazil) revealed by morphological review and mitochondrial genes analyses. Zootaxa 4732 (1): 177-195, DOI: https://doi.org/10.11646/zootaxa.4732.1.9
DOI: 10.6084/m9.figshare.11835804.v3
title: Simulated spectrum peak wave period (3-hourly, 150a) from FIO-ESM v2.0 1pctCO2 experiment r1i1p1f1

description: Simulated spectrum peak wave period (3-hourly, 150a) from FIO-ESM v2.0 1pctCO2 experiment (CO2 prescribed to increase at 1% per year) r1i1p1f1, which is branch from Jan 1, 301 of piControl experiment. The grid, named gx1v6, is the displaced pole (the North Pole displaced to the Greenland) grid with 1.1 degree in longitude and 0.27-0.54 degree in latitude.
DOI: 10.15468/qmyhjp
title: Interesting new Chinese species of Leptoceridae and Odontoceridae (Insecta: Trichoptera) from several recent collecting efforts

description: This dataset contains the digitized treatments in Plazi based on the original journal article Yang, Lian-Fang, Hu, Ben-Jin, Morse, John C. (2020): Interesting new Chinese species of Leptoceridae and Odontoceridae (Insecta: Trichoptera) from several recent collecting efforts. Zootaxa 4732 (1): 138-160, DOI: https://doi.org/10.11646/zootaxa.4732.1.6
DOI: 10.15468/l07r4a
title: Dolichocaudus, a new genus in the leafhopper subfamily Evacanthinae (Hemiptera: Cicadellidae), with description of two new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Wang, Yang, Zhang, Yalin (2020): Dolichocaudus, a new genus in the leafhopper subfamily Evacanthinae (Hemiptera: Cicadellidae), with description of two new species. Zootaxa 4732 (1): 161-168, DOI: https://doi.org/10.11646/zootaxa.4732.1.7
DOI: 10.17632/63bsvbdzyb.1
title: Data for: Fabrication of Thermo-Responsive Cell Culture Membrane with Poly(N-isopropylacrylamide) by Electron Beam Graft Polymerization

description: The data for ETFE_13C-NMR(raw), Ir-ETFE_13C-NMR(raw), 30-GM_13C-NMR(raw) and Results for 13C-NMR(processed) are used in Figure1. The data for Results for FT-IR grafting yield(processed)is used in Figure3 and 4. The data for Results for GY and Contact angle is used in Figure2 and 5. The data for Results for TGA(raw) is used in FigureS1. The data for Results for UV-vis(raw) is used in FigureS2.
DOI: 10.5286/isis.e.rb1910370-2
title: Accounting for textural effects on total scattering data and the pair-distribution function

description: The total scattering technique has become an invaluable method for probing the local structure of materials in a host of interesting fields. However, the technique is reliant on some assumptions about the nature of the material being studied that currently limits the application of the technique in certain fields. Of particularly significance is the orientation of grains within the sample, known as texture, which can be strongly dependent on the method of manufacture of the material. By considering some important test case materials, we will investigate the affect of texture on total scattering measurements. From this information it will be possible to provide additional functionality to the instrument on which the samples are measured, open up the field of study and provide insight into some important materials.
DOI: 10.21227/1dz4-zb21
title: Benchmark Dataset for the Paper "A Hybrid Optimization Strategy of Meta-Heuristic and Mathematical Programming Methods for Meshed Power Systems"

description: A Hybrid Optimization Strategy of Meta-Heuristic and Mathematical Programming Methods for Meshed Power SystemsGrid Planning Benchmark Dataset for the Paper "A Hybrid Optimization Strategy of Meta-Heuristic and Mathematical Programming Methods for Meshed Power Systems"
DOI: 10.21227/gknr-mn62
title: Benchmark Dataset for the Paper "A Hybrid Optimization Strategy of Meta-Heuristic and Mathematical Programming Methods for Meshed Power Systems"

description: A Hybrid Optimization Strategy of Meta-Heuristic and Mathematical Programming Methods for Meshed Power SystemsGrid Planning Benchmark Dataset for the Paper "A Hybrid Optimization Strategy of Meta-Heuristic and Mathematical Programming Methods for Meshed Power Systems"
DOI: 10.21227/1qs6-c080
title: Benchmark Dataset for the Paper "A Hybrid Optimization Strategy of Meta-Heuristic and Mathematical Programming Methods for Meshed Power Systems"

description: A Hybrid Optimization Strategy of Meta-Heuristic and Mathematical Programming Methods for Meshed Power SystemsGrid Planning Benchmark Dataset for the Paper "A Hybrid Optimization Strategy of Meta-Heuristic and Mathematical Programming Methods for Meshed Power Systems"
DOI: 10.7910/dvn/oq3w5k/tfjhr0
title: TUTH_Before-after dataset.tab

description: :unav
DOI: 10.21227/vnc5-5889
title: Benchmark Dataset for the Paper "A Hybrid Optimization Strategy of Meta-Heuristic and Mathematical Programming Methods for Meshed Power Systems"

description: A Hybrid Optimization Strategy of Meta-Heuristic and Mathematical Programming Methods for Meshed Power SystemsGrid Planning Benchmark Dataset for the Paper "A Hybrid Optimization Strategy of Meta-Heuristic and Mathematical Programming Methods for Meshed Power Systems"
DOI: 10.21227/74rq-bd35
title: Benchmark Dataset for the Paper "A Hybrid Optimization Strategy of Meta-Heuristic and Mathematical Programming Methods for Meshed Power Systems"

description: A Hybrid Optimization Strategy of Meta-Heuristic and Mathematical Programming Methods for Meshed Power SystemsGrid Planning Benchmark Dataset for the Paper "A Hybrid Optimization Strategy of Meta-Heuristic and Mathematical Programming Methods for Meshed Power Systems"
DOI: 10.21227/6rjj-3283
title: Benchmark Dataset for the Paper "A Hybrid Optimization Strategy of Meta-Heuristic and Mathematical Programming Methods for Meshed Power Systems"

description: A Hybrid Optimization Strategy of Meta-Heuristic and Mathematical Programming Methods for Meshed Power SystemsGrid Planning Benchmark Dataset for the Paper "A Hybrid Optimization Strategy of Meta-Heuristic and Mathematical Programming Methods for Meshed Power Systems"
DOI: 10.21227/ez8y-xj21
title: Combining machine learning and metabolomics to identify weight gain biomarkers

description: This dataset was used in the article "Dias-Audibert FL, Navarro LC, de Oliveira DN, Delafiori J, Melo CFOR, Guerreiro TM, Rosa FT, Petenuci DL, Watanabe MAE, Velloso LA, Rocha AR and Catharino RR (2020) Combining Machine Learning and Metabolomics to Identify Weight Gain Biomarkers. Front. Bioeng. Biotechnol. 8:6. doi: 10.3389/fbioe.2020.00006", open access available at: https://doi.org/10.3389/fbioe.2020.00006. Article abstract:Weight gain is a metabolic disorder that often culminates in the development of obesity and other comorbidities such as diabetes. Obesity is characterized by the development of a chronic, subclinical systemic inflammation, and is regarded as a remarkably important factor that contributes to the development of such comorbidities. Therefore, laboratory methods that allow the identification of subjects at higher risk for severe weight-associated morbidity are of utter importance, considering the health and safety of populations. This contribution analyzed the plasma of 180 Brazilian individuals, equally divided into a eutrophic control group and case group, to assess the presence of biomarkers related to weight gain, aiming at characterizing the phenotype of this population. Samples were analyzed by mass spectrometry and most discriminant features were determined by a machine learning approach using Random Forest algorithm. Five biomarkers related to the pathogenesis and chronicity of inflammation in weight gain were identified. Two metabolites of arachidonic acid were upregulated in the case group, indicating the presence of inflammation, as well as two other molecules related to dysfunctions in the cycle of nitric oxide (NO) and increase in superoxide production. Finally, a fifth case group marker observed in this study may indicate the trigger for diabetes in overweight and obesity individuals. The use of mass spectrometry combined withmachine learning analyses to prospect and characterize biomarkers associated with weight gain will pave the way for elucidating potential therapeutic and prognostic targets.
DOI: 10.25387/g3.11663970
title: Supplemental Material for Lin, Lin, and Lin, 2020

description: Figure S1 shows 10 linkage groups on genetic map of the F2 population derived from NH80-A x TA95. Figure S2 shows 10 linkage groups on genetic map of the BC1 population derived from NH80-A x WH606. Table S1 displays predicted genotypes of each line under multi-allelic and two-gene models, respectively. Tables S2, S3, and S4 display segregation ratios of male sterility in progeny tests A, B, and C, respectively. File S1 contains the physical positions of polymorphic tags and genotypic data of F<sub>2</sub> population derived from NH80-A × TA95. File S2 contains the physical positions of polymorphic tags and genotypic data of BC<sub>1</sub> population derived from NH80-A × WH606. File S3 contains four genomic DNA sequences of <i>BnRf </i>orthologs.
DOI: 10.21227/dp84-b836
title: Combining machine learning and metabolomics to identify weight gain biomarkers

description: This dataset was used in the article "Dias-Audibert FL, Navarro LC, de Oliveira DN, Delafiori J, Melo CFOR, Guerreiro TM, Rosa FT, Petenuci DL, Watanabe MAE, Velloso LA, Rocha AR and Catharino RR (2020) Combining Machine Learning and Metabolomics to Identify Weight Gain Biomarkers. Front. Bioeng. Biotechnol. 8:6. doi: 10.3389/fbioe.2020.00006", open access available at: https://doi.org/10.3389/fbioe.2020.00006.Weight gain is a metabolic disorder that often culminates in the development of obesity and other comorbidities such as diabetes. Obesity is characterized by the development of a chronic, subclinical systemic inflammation, and is regarded as a remarkably important factor that contributes to the development of such comorbidities. Therefore, laboratory methods that allow the identification of subjects at higher risk for severe weight-associated morbidity are of utter importance, considering the health and safety of populations. This contribution analyzed the plasma of 180 Brazilian individuals, equally divided into a eutrophic control group and case group, to assess the presence of biomarkers related to weight gain, aiming at characterizing the phenotype of this population. Samples were analyzed by mass spectrometry and most discriminant features were determined by a machine learning approach using Random Forest algorithm. Five biomarkers related to the pathogenesis and chronicity of inflammation in weight gain were identified. Two metabolites of arachidonic acid were upregulated in the case group, indicating the presence of inflammation, as well as two other molecules related to dysfunctions in the cycle of nitric oxide (NO) and increase in superoxide production. Finally, a fifth case group marker observed in this study may indicate the trigger for diabetes in overweight and obesity individuals. The use of mass spectrometry combined withmachine learning analyses to prospect and characterize biomarkers associated with weight gain will pave the way for elucidating potential therapeutic and prognostic targets.
DOI: 10.25387/g3.11663970.v1
title: Supplemental Material for Lin, Lin, and Lin, 2020

description: Figure S1 shows 10 linkage groups on genetic map of the F2 population derived from NH80-A x TA95. Figure S2 shows 10 linkage groups on genetic map of the BC1 population derived from NH80-A x WH606. Table S1 displays predicted genotypes of each line under multi-allelic and two-gene models, respectively. Tables S2, S3, and S4 display segregation ratios of male sterility in progeny tests A, B, and C, respectively. File S1 contains the physical positions of polymorphic tags and genotypic data of F<sub>2</sub> population derived from NH80-A × TA95. File S2 contains the physical positions of polymorphic tags and genotypic data of BC<sub>1</sub> population derived from NH80-A × WH606. File S3 contains four genomic DNA sequences of <i>BnRf </i>orthologs.
DOI: 10.5281/zenodo.3662710
title: Can a Chatbot Support Software Engineers with Load Testing? Approach and Experiences

description: Supplementary material for the paper: Dusan Okanovic, Samuel Beck, Lasse Merz, Christoph Zorn, Leonel Merino, Andre van Hoorn, and Fabian Beck. Can a chatbot support software engineers with load testing? Approach and experiences. In Proceedings of the 11th ACM/SPEC International Conference on Performance Engineering (ICPE 2020), 2020. https://dx.doi.org/10.1145/3358960.3375792
DOI: 10.5281/zenodo.3662723
title: Training data for "RNA-Seq analysis with AskOmics Interactive Tool"

description: Additional files for Rna-Seq analysis with AskOmics IT.
DOI: 10.5281/zenodo.3662721
title: zan3rm/ECMWF_MJO-QBO: First release

description: This data supports the paper "The impact of the stratosphere on the MJO in a forecast model" accepted in JGRA by Zane Martin, Frederic Vitart, Shuguang Wang, and Adam Sobel.
DOI: 10.5281/zenodo.3662722
title: zan3rm/ECMWF_MJO-QBO: First release

description: This data supports the paper "The impact of the stratosphere on the MJO in a forecast model" accepted in JGRA by Zane Martin, Frederic Vitart, Shuguang Wang, and Adam Sobel.
DOI: 10.5281/zenodo.3662728
title: cl3225/JCLIM_2020: Lee et al. 2020 JCLIM release

description: This is the first release of the CHAZ data that is used in Lee etl al. 2020 JCLIM
DOI: 10.5281/zenodo.3662727
title: cl3225/JCLIM_2020: Lee et al. 2020 JCLIM release

description: This is the first release of the CHAZ data that is used in Lee etl al. 2020 JCLIM
DOI: 10.5281/zenodo.3662313
title: Benign samples used in article "DeepDetectNet vs RLAttackNet: An Adversarial Method to Improve Deep Learning-based Static Malware Detection Model"

description: This repository contains all benign samples used in article "DeepDetectNet vs RLAttackNet: An Adversarial Method to Improve Deep Learning-based Static Malware Detection Model". It is safe to download these samples.
DOI: 10.5281/zenodo.3662739
title: Supplementary Files for IJMS SKM 0211

description: Table S1 OCCC caselist Table S2 immunofunctionome OCCC stage table Table S3 dysfunctional pathway OCCC table Table S4 DEGs of complement for OCCC
DOI: 10.5281/zenodo.3662738
title: Supplementary Files for IJMS SKM 0211

description: Table S1 OCCC caselist Table S2 immunofunctionome OCCC stage table Table S3 dysfunctional pathway OCCC table Table S4 DEGs of complement for OCCC
DOI: 10.5281/zenodo.3662759
title: COST-ELTeC/ELTeC-spa: First release

description: v.0.1.0 First release with 30 novels in level 1.
DOI: 10.7910/dvn/8iqmc9/hvkc23
title: tax.table.txt

description: :unav
DOI: 10.7910/dvn/8iqmc9/gjktot
title: metadata.txt

description: metadata
DOI: 10.7910/dvn/8iqmc9
title: Replication Data for: An intensive multilocation temporal dataset of fungal communities in the root and rhizosphere of Brassica napus

description: This is a dataset of the diversity and temporal composition of fungal communities in the root endosphere and rhizosphere of diverse Brassica napus lines grown in different environments in the Canadian prairie. The dataset is used to demonstrate how the root and rhizosphere fungal communities of B. napus are shaped by plant genotype, temporal changes and environment, in order to adapt effective varieties for sustainable and stable crop production systems.
DOI: 10.7910/dvn/8iqmc9/1eibyu
title: asv.table.txt

description: ASV (Amplicon Sequence Variant) table
DOI: 10.3886/e107948v1
title: Record linkage using Stata

description: This project points to an article in The Stata Journal describing a set of routines to preprocess nominal data (firm names and addresses), perform probabilistic linking of two datasets, and display candidate matches for clerical review.<br>The ado files and supporting pattern files are downloadable within Stata.
DOI: 10.3886/e107948
title: Record linkage using Stata

description: This project points to an article in The Stata Journal describing a set of routines to preprocess nominal data (firm names and addresses), perform probabilistic linking of two datasets, and display candidate matches for clerical review.<br>The ado files and supporting pattern files are downloadable within Stata.
DOI: 10.6073/pasta/06938136601cdd81eb37837b7ea4b5fb
title: Non-continuous TS/Ph7b Weather Tower Data, Everglades National Park (FCE LTER), South Florida from May 2008 to 2017

description: A weather tower was constructed in Taylor River at TS-PH7b to collect meteorological data necessary for the estimation of Evapotranspiration estimates within the dwarf mangrove ecotone of FCE. This data set also includes surface water and soil temperature data that was used to investigate groundwater-surface water interactions at the site.
DOI: 10.6073/pasta/068e4a6fa99628c6a01f4a739d5dd2d6
title: Mohonk Preserve Stream Water Quality Invasive Species and Macroinvertebrate Sampling in from 2015-Present

description: The mission of the Mohonk Preserve is to protect the Shawangunk Mountains region and inspire people to care for, enjoy, and explore their natural world. Among these 8,000 acres are the vernal pools, permanent springs, tributaries, Humpo Marsh, and the Humpo Kill, and parts of the Kleine Kill and Coxing Kill watersheds within the Hudson River Drainage Basin. Not only are the areas around the Shawangunks established habitats for New York State (NYS) protected species, including an Audubon-designated Important Bird Area, but the watershed also encapsulates more than one agricultural land use area, as well as Rondout Creek, which is an important waterway for the New York City water supply. A conservation plan must be implemented in these areas in particular, keeping in line with the Mohonk Preserves goal to conserve the Shawangunk region for both humans and the greater ecosystem within it. Recognizing the immediate and long-term conservation needs of the streams in this region by employing volunteer data collection will be a catalyst to the Preserves understanding of which environmental threats of this area should be prioritized. The StreamWatch citizen science program will be the newest addition to an array of volunteer research areas, which include collection of weather data, phenology observations, monitoring of peregrine falcon breeding activities, and monitoring of fall hawk migration. Using concise stream monitoring protocol designed for volunteer safety and maximum data accuracy, StreamWatch will evaluate water quality using an array of parameters. Following thorough observation and assessment (which will include analyzing appearance and smell of the water, shape of the stream, canopy cover, nearby land uses, recent weather, and presence of riparian vegetation including invasive species) water quality will be evaluated by means of temperature, dissolved oxygen, pH, and turbidity measurements, in addition to a macroinvertebrate count. Width and depth will also be measured, being indirect contributors to stream quality. The StreamWatch protocol aims to follow a simple procedure that will yield accurate and useful data from all of these aforementioned parameters in order to confirm relevant needs for riparian buffers, changes in nearby agricultural practices (some of which directly affect portions of the watershed), protection against invasive species, and any other potential solutions to problems these watersheds may be afflicted by presently or in the future. Volunteer involvement in this stream water sampling process will encourage the concept of stewardship among visitors of the preserve, while simultaneously honing in on and pursuing various conservation goals.