cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18709932
title: Replication Package for "Predictive Autoscaling in Kubernetes via Machine Learning Time Series Forecasting"

description: Note: Links do not work in Zenodo but only from the README.MD file when downloaded locally.

Contents

The repository contains the following:





INSTALL: Thorough installation guide describing how to test the system and install necessary tools and components of the system.




DATASETS: Contains all test datasets extracted from testing phase



GroundTruth: Zero autoscaling enabled

Baseline: Default Kubernetes Horizontal Pod Autoscaler enabled

Intermediate Study: The proposed Autoscaler solution enabled

agg_minute.csv: Training dataset used for training the models





COMPONENTS: Contains the components and source code which constitute the solution



Autoscaler: Backend and frontend for the solution

Forecaster: Model training and prediction

Workload: Workload generation for testing





FIGURES: Contains all figures from the paper

NB. Workload 0 defines the generated data which closely resembles the traning data, while workload 1 is the sinusoidally generated data.





Paper figures:



Ground Truth 10x10 workload 0

Ground Truth 10x10 workload 0

Baseline workload 0

Baseline workload 0

Autoscaler workload 0

Autoscaler workload 0

Architectural Diagram: Architectural diagram describing the proposed system

Preprocessing pipeline: Preprossing pipeline flow


Figures with startup-time infixed e.g intermediate-study-v2.2-startup-time-workload-0.pdf displays the extended tests using applications with longer startup times.






MODELS: Contains all the baseline models and selected hyperparameters from tuning phase. The baseline models used are present in the p9 folder.




RESULTS: Contains results from system tests extracted from datasets using scripts




SCRIPTS: Contains scripts to generate figures



plot_module.py: Reads csv, aggregates the input, formats figures and outputs to results in .svg, .png and .pdf format

make_figures.py: Uses above module to iterate through files in --input_dir to create a plot for each input file.

plot_training_data.py: Used to plot the training data figure from agg_minute.csv
DOI: 10.5281/zenodo.18709933
title: Replication Package for "Predictive Autoscaling in Kubernetes via Machine Learning Time Series Forecasting"

description: Note: Links do not work in Zenodo but only from the README.MD file when downloaded locally.

Contents

The repository contains the following:





INSTALL: Thorough installation guide describing how to test the system and install necessary tools and components of the system.




DATASETS: Contains all test datasets extracted from testing phase



GroundTruth: Zero autoscaling enabled

Baseline: Default Kubernetes Horizontal Pod Autoscaler enabled

Intermediate Study: The proposed Autoscaler solution enabled

agg_minute.csv: Training dataset used for training the models





COMPONENTS: Contains the components and source code which constitute the solution



Autoscaler: Backend and frontend for the solution

Forecaster: Model training and prediction

Workload: Workload generation for testing





FIGURES: Contains all figures from the paper

NB. Workload 0 defines the generated data which closely resembles the traning data, while workload 1 is the sinusoidally generated data.





Paper figures:



Ground Truth 10x10 workload 0

Ground Truth 10x10 workload 0

Baseline workload 0

Baseline workload 0

Autoscaler workload 0

Autoscaler workload 0

Architectural Diagram: Architectural diagram describing the proposed system

Preprocessing pipeline: Preprossing pipeline flow


Figures with startup-time infixed e.g intermediate-study-v2.2-startup-time-workload-0.pdf displays the extended tests using applications with longer startup times.






MODELS: Contains all the baseline models and selected hyperparameters from tuning phase. The baseline models used are present in the p9 folder.




RESULTS: Contains results from system tests extracted from datasets using scripts




SCRIPTS: Contains scripts to generate figures



plot_module.py: Reads csv, aggregates the input, formats figures and outputs to results in .svg, .png and .pdf format

make_figures.py: Uses above module to iterate through files in --input_dir to create a plot for each input file.

plot_training_data.py: Used to plot the training data figure from agg_minute.csv
DOI: 10.3535/m6f-xqy-a16
title: Reticunassa silvardi (H. H. Kool & H. Dekker, 2006)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nz3-hmr-mme
title: Tritia lanceolata (Bucquoy, Dautzenberg & Dollfus, 1882)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/k2j-pp7-pgb
title: Nassarius filosus (Reeve, 1853)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wld-bqd-rvl
title: Nassarius coronatus (Bruguière, 1789)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.48505/nims.3329
title: XAFS spectrum of Silicon carbide

description: This dataset consists of X-ray absorption fine structure (XAFS) spectra at Si K-edge of Silicon carbide measured at Ritsumeikan-SR BL-10, and is a part of XAFS database (MDR XAFS DB, https://doi.org/10.48505/nims.1447) as a collection of MDR
DOI: 10.3535/6hj-jbb-ft0
title: Nassarius iodes (Dall, 1917)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/94z-2hy-g6t
title: Nassarius Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/b6f-wfr-zrd
title: Nassarius Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bnl-ltb-ypt
title: Nassarius argenteus (Marrat, 1877)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.48505/nims.3409
title: XAFS spectrum of Manganese

description: This dataset consists of X-ray absorption fine structure (XAFS) spectra at Mn K-edge of Manganese measured at PF, and is a part of XAFS database (MDR XAFS DB, https://doi.org/10.48505/nims.1447) as a collection of MDR
DOI: 10.3535/6n9-51y-f3w
title: Nassarius conoidalis (Deshayes, 1833)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4x3-de3-rb9
title: Nassarius marratii (E. A. Smith, 1876)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/czx-2yw-n54
title: Nassarius pullus (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lhv-g1a-4tm
title: Nassarius Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vk2-cxd-j64
title: Nassarius Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.48505/nims.3444
title: XAFS spectrum of Indium

description: This dataset consists of X-ray absorption fine structure (XAFS) spectra at In K-edge of Indium measured at PF, and is a part of XAFS database (MDR XAFS DB, https://doi.org/10.48505/nims.1447) as a collection of MDR
DOI: 10.3535/eey-wrc-b40
title: Nassarius Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/r3a-lyj-jxx
title: Nassarius fraudulentus (Marrat, 1877)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6dh-cbm-7wm
title: Nassarius jacksonianus (Quoy & Gaimard, 1833)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bdg-55x-sl7
title: Nassarius globosus (Quoy & Gaimard, 1833)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yk0-q75-bgl
title: Nassarius Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.48505/nims.3362
title: XAFS spectrum of Copper-platinum alloy

description: This dataset consists of X-ray absorption fine structure (XAFS) spectra at Pt L3-edge of Copper-platinum alloy measured at PF, and is a part of XAFS database (MDR XAFS DB, https://doi.org/10.48505/nims.1447) as a collection of MDR
DOI: 10.3535/5al-pgr-c4r
title: Nassarius obvelatus (Deshayes, 1833)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lp9-brz-5x5
title: Nassarius bifarius (Baird, 1873)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/geq-85b-r7d
title: Haliotis discus discus Reeve, 1846

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/k3f-3g9-thy
title: Nassarius stimpsonianus (C. B. Adams, 1852)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7pc-96g-5xg
title: Mytilus edulis edulis Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kr8-jdr-fbs
title: Alinda biplicata biplicata (Montagu, 1803)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.48505/nims.3408
title: XAFS spectrum of Manganese(IV) oxide

description: This dataset consists of X-ray absorption fine structure (XAFS) spectra at Mn K-edge of Manganese(IV) oxide measured at PF, and is a part of XAFS database (MDR XAFS DB, https://doi.org/10.48505/nims.1447) as a collection of MDR
DOI: 10.3535/5nb-v61-0fm
title: Patella vulgata Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ysq-mf9-758
title: Vitrea subrimata (Reinhardt, 1871)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6wl-s4k-6n8
title: Haliotis fulgens fulgens R. A. Philippi, 1845

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/t09-97f-xh4
title: Mya truncata Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5cm-grz-add
title: Vallonia excentrica Sterki, 1893

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.48505/nims.3328
title: XAFS spectrum of Silicon dioxide (amorphous)

description: This dataset consists of X-ray absorption fine structure (XAFS) spectra at Si K-edge of Silicon dioxide (amorphous) measured at Ritsumeikan-SR BL-10, and is a part of XAFS database (MDR XAFS DB, https://doi.org/10.48505/nims.1447) as a collection of MDR
DOI: 10.3535/g37-f6g-za6
title: Alinda biplicata biplicata (Montagu, 1803)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wdx-c0c-3j0
title: Petricola lithophaga (Retzius, 1788)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0qm-61r-43v
title: Lindholmiola corcyrensis (Rossmässler, 1838)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2q7-a56-zqn
title: Nassarius punctatus (A. Adams, 1852)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.48505/nims.3348
title: XAFS spectrum of Magnesium oxide

description: This dataset consists of X-ray absorption fine structure (XAFS) spectra at Mg K-edge of Magnesium oxide measured at Ritsumeikan-SR BL-13, and is a part of XAFS database (MDR XAFS DB, https://doi.org/10.48505/nims.1447) as a collection of MDR
DOI: 10.3535/0qn-j28-v5b
title: Nassarius crassiusculus (Nyst, 1845)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mt5-71k-xhh
title: Reticunassa tringa (Souverbie, 1864)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nbh-gmc-e5z
title: Nassarius kiiensis Kira, 1959

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nva-1mj-njx
title: Nassarius tabescens (Marrat, 1880)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9n1-qgv-rvk
title: Nassarius abyssinicus (Marrat, 1877)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/p4p-vz3-qpf
title: Cyllene lamarcki Cernohorsky, 1975

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.48505/nims.3423
title: XAFS spectrum of Molybdenum

description: This dataset consists of X-ray absorption fine structure (XAFS) spectra at Mo K-edge of Molybdenum measured at PFAR, and is a part of XAFS database (MDR XAFS DB, https://doi.org/10.48505/nims.1447) as a collection of MDR
DOI: 10.48505/nims.3306
title: XAFS spectrum of Sodium bromide

description: This dataset consists of X-ray absorption fine structure (XAFS) spectra at Na K-edge of Sodium bromide measured at Ritsumeikan-SR BL-10, and is a part of XAFS database (MDR XAFS DB, https://doi.org/10.48505/nims.1447) as a collection of MDR
DOI: 10.48505/nims.3334
title: XAFS spectrum of Boron nitride (Hexagonal)

description: This dataset consists of X-ray absorption fine structure (XAFS) spectra at B K-edge of Boron nitride (Hexagonal) measured at Ritsumeikan-SR BL-11, and is a part of XAFS database (MDR XAFS DB, https://doi.org/10.48505/nims.1447) as a collection of MDR
DOI: 10.48505/nims.3359
title: XAFS spectrum of Silver

description: This dataset consists of X-ray absorption fine structure (XAFS) spectra at Ag K-edge of Silver measured at PF, and is a part of XAFS database (MDR XAFS DB, https://doi.org/10.48505/nims.1447) as a collection of MDR
DOI: 10.25381/cput.31339069
title: Methodology overview and processed data linked to seaweed-associated bacteria and seaweed

description: In order to identify bacteria, a specific gene, the 16S rRNA gene is sequenced and compared to sequences in a public database. Based on the degree of similarity, a bacterium can be identified to a specific group (genus). To find out if a bacterium is novel or belong to a known species, genome sequence analysis is performed. To understand the composition of microbial communities, the total environmental DNA (metagenome) is sequenced. Specific environments typically have defined microbial communities - this information can be used to determine if human-based activities are having an impact on the environment or not. In this PowerPoint presentation there are slides summarising the following:Slide 1: Overall methodology employed for the isolation of seaweed-associated bacteria, genome sequencing, and genome mining; metagenome sequencing and mining.Slide 2: The neighbour-joining 16S rRNA gene phylogenetic tree containing selected seaweed-associated bacterial isolates, indicating the distribution across different genera, Classes, and Phyla.Slide 3: Genomic features of 12 seaweed-associated bacteria (genome size, G+C%, whether the strain is novel based on TYGS analysis, number of contigs, the % completeness of the genome, and % contamination detected).Slide 4: KAIJU output images of the microbiome associated with the brown seaweed <i>Laminaria pallida</i>. The analysis was performed at both the genus and phylum level, indicating the diversity present. Six high-quality bins (genomes) were also extracted from the metagenomes, as indicated on this slide.
DOI: 10.25381/cput.31339069.v1
title: Methodology overview and processed data linked to seaweed-associated bacteria and seaweed

description: In order to identify bacteria, a specific gene, the 16S rRNA gene is sequenced and compared to sequences in a public database. Based on the degree of similarity, a bacterium can be identified to a specific group (genus). To find out if a bacterium is novel or belong to a known species, genome sequence analysis is performed. To understand the composition of microbial communities, the total environmental DNA (metagenome) is sequenced. Specific environments typically have defined microbial communities - this information can be used to determine if human-based activities are having an impact on the environment or not. In this PowerPoint presentation there are slides summarising the following:Slide 1: Overall methodology employed for the isolation of seaweed-associated bacteria, genome sequencing, and genome mining; metagenome sequencing and mining.Slide 2: The neighbour-joining 16S rRNA gene phylogenetic tree containing selected seaweed-associated bacterial isolates, indicating the distribution across different genera, Classes, and Phyla.Slide 3: Genomic features of 12 seaweed-associated bacteria (genome size, G+C%, whether the strain is novel based on TYGS analysis, number of contigs, the % completeness of the genome, and % contamination detected).Slide 4: KAIJU output images of the microbiome associated with the brown seaweed <i>Laminaria pallida</i>. The analysis was performed at both the genus and phylum level, indicating the diversity present. Six high-quality bins (genomes) were also extracted from the metagenomes, as indicated on this slide.
DOI: 10.57903/uj/k5wjg6
title: Jak kochamy? Miłość romantyczna i kapitał kulturowy wśród miejskiej klasy średniej w indyjskich metropoliach. Baza materiałów z zakresu krytycznej analizy dyskursu - cz.1 (projekt nr 2020/37/B/HS3/04074)
title: How do we love? Romantic love and cultural capital among urban middle class in Indian metropolises. A database of materials in critical discourse analysis - p.1 (project no: 2020/37/B/HS3/04074)

description: Dane badawcze dotyczące dyskursu miłosnego w Indiach zebrane w ramach projektu "Jak kochamy? Miłość romantyczna i kapitał kulturowy wśród miejskiej klasy średniej w indyjskich metropoliach" (finansowanego przez Narodowe Centrum Nauki, nr 2020/37/B/HS3/04074).&lt;hr&gt;
Research data on love discourse in India collected as part of the research project "How do we love? Romantic love and cultural capital among the urban middle class in Indian metropolises" (financed by the National Science Center, No. 2020/37/B/HS3/04074).
DOI: 10.3535/cr9-d89-n80
title: Vexillum Röding, 1798

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.48505/nims.3402
title: XAFS spectrum of Molybdenum(V) chloride

description: This dataset consists of X-ray absorption fine structure (XAFS) spectra at Mo K-edge of Molybdenum(V) chloride measured at Aichi SR, and is a part of XAFS database (MDR XAFS DB, https://doi.org/10.48505/nims.1447) as a collection of MDR
DOI: 10.48505/nims.3388
title: XAFS spectrum of Palladium(II) oxide

description: This dataset consists of X-ray absorption fine structure (XAFS) spectra at Pd K-edge of Palladium(II) oxide measured at PFAR, and is a part of XAFS database (MDR XAFS DB, https://doi.org/10.48505/nims.1447) as a collection of MDR
DOI: 10.48505/nims.3394
title: XAFS spectrum of Molybdenum nickel phosphide

description: This dataset consists of X-ray absorption fine structure (XAFS) spectra at Mo K-edge of Molybdenum nickel phosphide measured at PF, and is a part of XAFS database (MDR XAFS DB, https://doi.org/10.48505/nims.1447) as a collection of MDR
DOI: 10.48505/nims.3415
title: XAFS spectrum of Niobium(IV) oxide

description: This dataset consists of X-ray absorption fine structure (XAFS) spectra at Nb K-edge of Niobium(IV) oxide measured at PF, and is a part of XAFS database (MDR XAFS DB, https://doi.org/10.48505/nims.1447) as a collection of MDR
DOI: 10.48505/nims.3424
title: XAFS spectrum of Molybdenum

description: This dataset consists of X-ray absorption fine structure (XAFS) spectra at Mo K-edge of Molybdenum measured at PFAR, and is a part of XAFS database (MDR XAFS DB, https://doi.org/10.48505/nims.1447) as a collection of MDR
DOI: 10.48505/nims.3297
title: XAFS spectrum of Calcium sulfide

description: This dataset consists of X-ray absorption fine structure (XAFS) spectra at Ca K-edge of Calcium sulfide measured at Ritsumeikan-SR BL-10, and is a part of XAFS database (MDR XAFS DB, https://doi.org/10.48505/nims.1447) as a collection of MDR
DOI: 10.48505/nims.3454
title: XAFS spectrum of Indium

description: This dataset consists of X-ray absorption fine structure (XAFS) spectra at In K-edge of Indium measured at PF, and is a part of XAFS database (MDR XAFS DB, https://doi.org/10.48505/nims.1447) as a collection of MDR
DOI: 10.48505/nims.3428
title: XAFS spectrum of Palladium Carbide

description: This dataset consists of X-ray absorption fine structure (XAFS) spectra at Pd K-edge of Palladium Carbide measured at PFAR, and is a part of XAFS database (MDR XAFS DB, https://doi.org/10.48505/nims.1447) as a collection of MDR
DOI: 10.25381/cput.31339042
title: Summary of the biosynthetic potential of twelve seaweed-associated bacteria: Secondary metabolites, plastic-degrading enzymes, and seaweed polymer-degrading enzymes

description: The biosynthetic potential of a bacterium can be determined from the genetic information in the organism's DNA. Genome sequencing allows for access to this genetic information, and through the use of specific bioinformatics tools the biosynthetic potential of the organism can be determined. For this dataset, the genomes of twelve seaweed-associated bacteria were sequenced using the Oxford Nanopore Technology (ONT) sequencer, MinION. This Excel sheet contains three tabs, with each tab summarising the outputs of the genome sequence data of 12 seaweed-associated bacteria (strain names at the top of each sheet, except for the dbCAN3 sheet where the strains are listed to the left) analysed using different bioinformatics tool (number of specific genes or gene clusters indicated for each strain, and summarised in graph form). The bioinformatics tools used, include AntiSMASH 8.0 (detection of biosynthetic gene clusters encoding secondary metabolites), PlasticDB (detection of genes encoding for enzymes with the ability to degrade different types of plastics), and dbCAN3 (detection of genes encoding for carbohydrate-active enzymes or Cazymes – the latter was limited to Cazyme families involved in seaweed polymer degradation). GH = glycosylhydrolase; PL = polysaccharide lyase.<br>
DOI: 10.25381/cput.31339042.v1
title: Summary of the biosynthetic potential of twelve seaweed-associated bacteria: Secondary metabolites, plastic-degrading enzymes, and seaweed polymer-degrading enzymes

description: The biosynthetic potential of a bacterium can be determined from the genetic information in the organism's DNA. Genome sequencing allows for access to this genetic information, and through the use of specific bioinformatics tools the biosynthetic potential of the organism can be determined. For this dataset, the genomes of twelve seaweed-associated bacteria were sequenced using the Oxford Nanopore Technology (ONT) sequencer, MinION. This Excel sheet contains three tabs, with each tab summarising the outputs of the genome sequence data of 12 seaweed-associated bacteria (strain names at the top of each sheet, except for the dbCAN3 sheet where the strains are listed to the left) analysed using different bioinformatics tool (number of specific genes or gene clusters indicated for each strain, and summarised in graph form). The bioinformatics tools used, include AntiSMASH 8.0 (detection of biosynthetic gene clusters encoding secondary metabolites), PlasticDB (detection of genes encoding for enzymes with the ability to degrade different types of plastics), and dbCAN3 (detection of genes encoding for carbohydrate-active enzymes or Cazymes – the latter was limited to Cazyme families involved in seaweed polymer degradation). GH = glycosylhydrolase; PL = polysaccharide lyase.<br>