cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/rxc695hj2k.2
title: Extended instance sets for the parallel serial-batch scheduling problem with incompatible job families, sequence-dependent setup times, and arbitrary sizes

description: The extended data set (UGWT) for the parallel serial-batch scheduling problem with incompatible job families, sequence-dependent setup times, and arbitrary sizes contains instances with up to 3,200 jobs and different types of setup times (symmetric Euclidean - SE, asymmetric Euclidean - AE, and arbitrary - AR). The instances are separated into three classes: small (S), large (L), and very large (XL).

Main characteristics of the small instances S: 
number of jobs n = 15, 30, or 60; number of machines m = 1, 3, 4, or 5; number of incompatible job families q= 3, 5, or 10; 

Main characteristics of the large instances L: 
number of jobs n = 100, 200, or 300; number of machines m = 1, 3, 4, 5, or 10; number of incompatible job families q= 3, 5, 10, or 20; 

Main characteristics of the large instances XL: 
number of jobs n = 800, 1,600, or 3,200; number of machines m = 5, 10, or 20; number of incompatible job families q= 10, 20, or 40; 

Further characteristics:
- The maximum batch capacity (bc) is set to 50 for all instances. 
- Capacity requirement scenarios defining job sizes: crs = CRS1 with [1, 12], CRS2 with [1, 25], CRS3 with [1, 50], or CRS4 with [13, 38].
- Job processing times and weights are drawn from discrete uniform distributions with the parameters [1, 100] and [1, 10]. 
- Distribution of jobs to families: jtfam = UD, discrete uniform distribution with {1,…, q} and jtfam = ND, normal distribution with the parameters q/2 and 0.2q (with discretization); 
Note that due to the assignment procedure, the actual number of families of an instance can be different from q (the q value used for instance generation is depicted in the filename, whereas the actual number of families is depicted within the files).
- Setup time type: st = SE, AE, or AR
- Setup time severity factor: eta = 0.25 or 0.75
- Tardiness factor: tf = 0.3 or 0.6 
- Due date range factor: rdd = 0.5 or 2.5

Because not all instance characteristics combinations are reasonable regarding batch capacity requirement scenarios, instance sets are restricted to those combinations with a sufficiently large, approximated number of batches per machine. Altogether, the three instance sets S, L, and XL contain 93,360 instances in total: |S|=22,320, |L|=57,600, and |XL|=13,440. 

All the scheduling relevant data is given within the files, whereby each file represents one problem instance. A unique identifier is given by the filename and also in the text file itself. In addition, best-known objective values (and computation times) for several solution methods are included. The last value of the folder names indicates the number of instances with the corresponding characteristics). 

More details on the instances can be found in "Learning-augmented heuristics for scheduling parallel serial-batch processing machines" (Computers & Operations Research,10.1016/j.cor.2022.106122).
DOI: 10.13145/bacdive15327.20221219.7.1
title: Streptomyces indiaensis (Gupta 1965) Kudo and Seino 1987

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15328.20220920.7
title: Kitasatospora indigofera (Shinobu and Kawato 1960) Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15328.20221219.7.1
title: Kitasatospora indigofera (Shinobu and Kawato 1960) Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15329.20220920.7
title: Streptomyces intermedius (Krüger 1904) Waksman 1953

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.17632/j6s2mw9dbv.1
title: Refined Chest X-Ray Images

description: A refined version of chest x-ray images.
DOI: 10.13145/bacdive15329.20221219.7.1
title: Streptomyces intermedius (Krüger 1904) Waksman 1953

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15330.20220920.7
title: Streptomyces ipomoeae (Person and Martin 1940) Waksman and Henrici 1948

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15330.20221219.7.1
title: Streptomyces ipomoeae (Person and Martin 1940) Waksman and Henrici 1948

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.17632/rvf9nhvbbx.1
title: Timing of sneaking behavior in the dusky frillgoby Bathygobius fuscus sneaker males

description: Sneaking is a parasitic reproductive behavioral tactic for stealing fertilization opportunities from other males that monopolize females; therefore, sneaker males always face sperm competition. The timing of sneaking is an important trait that contributes to their fertilization success. In the dusky frillgoby Bathygobius fuscus, an intertidal gobiid fish, spawning between a nest-holding male and a paired female continues over several hours. We investigated the behavior of sneaker males of this species in the wild by examining the number of sneaker males around the nest, aggressive interactions between sneaker males, sneaking attempts, and sneak intrusions as indices of their sneaking motivation. Pair spawning lasted for 23.7–192.8 min, during which a maximum of 0–23 sneaker males were observed around the nests. All indices of sneaking motivation, except the number of sneak intrusions, significantly decreased with time elapsed since the pair spawning began. This suggests that sneaking motivation was high at the early stage of pair spawning. Early sneaking may contribute to high fertilization success of sneaker males, likely owing to the long-surviving effect of their long-lived sperm
DOI: 10.13145/bacdive15331.20220920.7
title: Streptomyces ipomoeae (Person and Martin 1940) Waksman and Henrici 1948

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15331.20221219.7.1
title: Streptomyces ipomoeae (Person and Martin 1940) Waksman and Henrici 1948

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.17632/wzgdmyjjfw.1
title: Robust Automation and Point of care IDentification of COVID

description: As a rapid and definitive diagnosis of SARS-CoV-2 is essential, it is also key to consider that a recent data review has shown that 19% of patients with COVID-19 have co-infections and that these show an association with poor outcomes (JS Musuuza et al. 2021). Due to the benefits in the management of treatment and the timely isolation of infected patients with overlapping clinical symptoms, this highlights the need to identify other common viral and bacterial pathogens.
The objective of this study was to evaluate the performance of the Respiratory 1 Panel (RESP003) CE marked kits, developed by GeneFirst (United Kingdom), for multiplex respiratory pathogen testing including 17 common causes of upper-respiratory tract infections and 11 common causes of pneumonia on biobanked clinical samples on the ACSIA - a High Throughput robotic system provided by PrimaDiag (France).
The results from this system were assessed against BioFire® FilmArray®, a comparable testing platform used as the gold standard comparator, to determine the clinical sensitivity and specificity of the tests. Results from conventional microbiology techniques were also considered as necessary or required. APHP established a clinical study protocol and has been granted with the necessary approvals for the study. Samples have been formerly screened with FilmArray® or GeneXpert® in order to include the most adequate number of positives and negative cases.
Overall, the evaluation criteria for the respiratory panels was:
- Clinical sensitivity of the RESP003 test coupled with the ACSIA platform versus the comparator (target: 90%)
- Clinical specificity of the RESP003 test coupled with the ACSIA platform in relation to the comparator (target: 98%)
- Background noise (white limit) will be also evaluated.
The study allowed the constitution of a biobank encompassing all major variants of SARS-CoV-2 samples, along with most of the other respiratory pathogens commonly reported in community acquired respiratory infections. The assay does not yet meet the required sensitivity specification using the automated result call, but the specificity is within range when the automated calling is verified. The reason for the discrepancy between the reference result and the post-biobanking results will be explored to curate and validate the biobank.
DOI: 10.13145/bacdive15332.20220920.7
title: Streptomyces janthinus (Artamonova and Krassilnikov 1960) Pridham 1970

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.17632/wzgdmyjjfw.2
title: Robust Automation and Point of care IDentification of COVID

description: As a rapid and definitive diagnosis of SARS-CoV-2 is essential, it is also key to consider that a recent data review has shown that 19% of patients with COVID-19 have co-infections and that these show an association with poor outcomes (JS Musuuza et al. 2021). Due to the benefits in the management of treatment and the timely isolation of infected patients with overlapping clinical symptoms, this highlights the need to identify other common viral and bacterial pathogens.
The objective of this study was to evaluate the performance of the Respiratory 1 Panel (RESP003) CE marked kits, developed by GeneFirst (United Kingdom), for multiplex respiratory pathogen testing including 17 common causes of upper-respiratory tract infections and 11 common causes of pneumonia on biobanked clinical samples on the ACSIA - a High Throughput robotic system provided by PrimaDiag (France).
The results from this system were assessed against BioFire® FilmArray®, a comparable testing platform used as the gold standard comparator, to determine the clinical sensitivity and specificity of the tests. Results from conventional microbiology techniques were also considered as necessary or required. APHP established a clinical study protocol and has been granted with the necessary approvals for the study. Samples have been formerly screened with FilmArray® or GeneXpert® in order to include the most adequate number of positives and negative cases.
Overall, the evaluation criteria for the respiratory panels was:
- Clinical sensitivity of the RESP003 test coupled with the ACSIA platform versus the comparator (target: 90%)
- Clinical specificity of the RESP003 test coupled with the ACSIA platform in relation to the comparator (target: 98%)
- Background noise (white limit) will be also evaluated.
The study allowed the constitution of a biobank encompassing all major variants of SARS-CoV-2 samples, along with most of the other respiratory pathogens commonly reported in community acquired respiratory infections. The assay does not yet meet the required sensitivity specification using the automated result call, but the specificity is within range when the automated calling is verified. The reason for the discrepancy between the reference result and the post-biobanking results will be explored to curate and validate the biobank.
DOI: 10.13145/bacdive15332.20221219.7.1
title: Streptomyces janthinus (Artamonova and Krassilnikov 1960) Pridham 1970

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15333.20220920.7
title: Streptomyces kanamyceticus Okami and Umezawa 1957

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15333.20221219.7.1
title: Streptomyces kanamyceticus Okami and Umezawa 1957

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15334.20220920.7
title: Streptomyces kanamyceticus Okami and Umezawa 1957

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.17632/hm5d3cc45y.1
title: Data set for learning heuristic parameters by a multi-target regression with dependent outputs

description: In the research paper "Learning-augmented heuristics for scheduling parallel serial-batch processing machines" (Computers & Operations Research, 2022, 10.1016/j.cor.2022.106122), we propose to improve the solution efficiency by using machine learning (i.e., Artificial neural networks, NN) to predict most suitable heuristic parameter configurations for a heuristic from the literature (BATCS-b) and for a new heuristic (BATCS-d). Hereby, a multi-target regression with dependent outputs must be performed. 

For the learning task, the heuristic parameter configurations achieving the best objective value (minimum weighted tardiness) are known for all 93,360 instances provided by the UGWT PSBIJF instance set (cf. “Extended instance sets for the parallel serial-batch scheduling problem with incompatible job families, sequence-dependent setup times, and arbitrary sizes”, Mendeley Data, V2, 10.17632/rxc695hj2k.2). 

An important aspect to consider during learning is that more than one parameter configuration can achieve the best objective value for one single scheduling problem instance.
The provided data set contains the instance identifier for each PSBIJ problem instance, the best objective value, two feature vectors (CF with 12 features and AF with 85 features), and the best parameter configurations (targets). Details on the data can be found in the research paper cited above.
DOI: 10.13145/bacdive15334.20221219.7.1
title: Streptomyces kanamyceticus Okami and Umezawa 1957

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15335.20220920.7
title: Streptomyces kanamyceticus Okami and Umezawa 1957

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15335.20221219.7.1
title: Streptomyces kanamyceticus Okami and Umezawa 1957

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.17632/cccgw7t7rb.1
title: Efficacy and safety of midazolam combined with dezocine for sedative and analgesic colonoscopy: a prospective open single-center study

description: Abstract: Objective: Midazolam combined with dezocine can be used for sedation and analgesia under colonoscopy. This study explored the efficacy and safety. Methods: The patients were non-blindly and non-randomly divided into sedative colonoscopy group (SC, n=29), anesthesia colonoscopy group (AC n=36) and ordinary colonoscopy group (OC, n=33). The vital signs, pain degree and satisfaction of colonoscopy were compared among the three groups. Results: The mean arterial pressure, pulse, respiration and blood oxygen saturation of AC in colonoscopy were significantly lower than those of SC and OC (P<0.05), and there was no significant difference between SE and OE. The pain score of SC was significantly lower than OC (1.17 ± 1.16 vs 3.52 ± 1.23, P<0.001); The satisfaction of OC (6.39 ± 1.06) was significantly lower than that of SC (8.79 ± 1.40) and AC (9.03 ± 0.91), (all P<0.001). There was no significant difference between SC and AC. Conclusion: The safety of midazolam combined with dezocine for sedative and analgesic endoscopy is similar to that of the ordinary colonoscopy. Sedative and analgesic colonoscopy is superior to the ordinary colonoscopy in comfort, satisfaction and compliance, and is equivalent to anesthesia colonoscopy. Considering the shortage of anesthesiologists in Chinese medical care, especially in primary care, the application of midazolam combined with desoxin in colonoscopy is worthy of clinical promotion.
DOI: 10.13145/bacdive15336.20220920.7
title: Streptomyces kanamyceticus Okami and Umezawa 1957

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15336.20221219.7.1
title: Streptomyces kanamyceticus Okami and Umezawa 1957

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15337.20220920.7
title: Streptomyces kanamyceticus Okami and Umezawa 1957

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15337.20221219.7.1
title: Streptomyces kanamyceticus Okami and Umezawa 1957

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15338.20220920.7
title: Streptomyces kasugaensis Hamada et al. 1995

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.17632/j6d6j2bb6c.1
title: Impact of FDI on Economic Growth

description: This is data for the period 1990–2020 for eight variables.
DOI: 10.13145/bacdive15338.20221219.7.1
title: Streptomyces kasugaensis Hamada et al. 1995

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15339.20220920.7
title: Streptomyces katrae Gupta and Chopra 1963

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15339.20221219.7.1
title: Streptomyces katrae Gupta and Chopra 1963

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.17632/t8w7m2m4cv.1
title: data in biref for polygonal faults and their rose diagram

description: Data of  the turbidite channels, mounded levees, and polygonal faults calculated from three-dimensional seismic data. Rose diagrams associated with or without channels souced from map-view and cross-sectional seismic data.
DOI: 10.13145/bacdive15340.20220920.7
title: Streptomyces kurssanovii (Preobrazhenskaya et al. 1957) Pridham et al. 1958

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15340.20221219.7.1
title: Streptomyces kurssanovii (Preobrazhenskaya et al. 1957) Pridham et al. 1958

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15341.20220920.7
title: Streptomyces lanatus Frommer 1959

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15341.20221219.7.1
title: Streptomyces lanatus Frommer 1959

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15342.20220920.7
title: Streptomyces lateritius (Sveshnikova 1957) Pridham et al. 1958

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15342.20221219.7.1
title: Streptomyces lateritius (Sveshnikova 1957) Pridham et al. 1958

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15343.20220920.7
title: Streptomyces lavendofoliae (Kuchaeva et al. 1961) Pridham 1970

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15343.20221219.7.1
title: Streptomyces lavendofoliae (Kuchaeva et al. 1961) Pridham 1970

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.17632/9643ghj4mt.1
title: Non-conventionally fabricated Fe3O4 nanoparticles for photocatalytic degradation of aquatic-pollutant dye

description: Among numerous nano-sized metal oxides, iron oxide nanoparticles (IONPs) have been known for its promising adsorptive efficacy. In the present study, non-conventional synthesis approach has been adopted wherein aqueous extract of Holoptelea integrifolia leaves was used to produce IONPs to degrade toxic, carcinogenic, non-biodegradable, and most aquatic-pollutant dye. Bioactive phytochemicals present in H. integrifolia leaves extract synergistically act as reducing, capping, and stabilizing agents to fabricate desired metal oxide (Fe3O4) NPs. Fabricated NPs was analysed using standard characterization tools & techniques, viz., UV-vis spectroscopy, FTIR spectroscopy, XRD, and SEM. Shape of IONPs was found to be spherical as elucidated by SEM. Average diameter of fabricated Fe3O4-NPs has been calculated (14.59 nm) by analysing the XRD data using Debye-Scherrer equation. 
IONPs was investigated for its photocatalytic activity to degrade methylene blue (MB) dye, which is one of the most toxic, carcinogenic, non-biodegradable and most abundant aquatic-pollutant dye. Photocatalytic activity was assessed by carrying out UV-visible spectra on three variable factors: dye concentration, photocatalyst dosage, and irradiation time. Green Fe3O4-NPs was found to have promising photocatalytic efficacy to degrade MB dye (85.5% on 150 min. of sunlight exposure). 
Green (non-conventional) route to fabricate metal oxide nanoparticles (IONPs), using aqueous extract of H. integrifolia leaves, has noteworthy advantages over conventional methods, being environmentally benign, economically viable, less time consuming and safer. The product (Fe3O4-NPs) has potential photocatalytic activity to degrade most hazardous, aquatic-pollutant MB dye.

Keywords: Fe3O4-nanoparticles, Holoptelea integrifolia, MB dye, Photocatalytic activity, UV-vis spectroscopy, SEM.
DOI: 10.13145/bacdive15344.20220920.7
title: Streptomyces lavendulae subsp. lavendulae (Waksman and Curtis 1916) Pridham 1970

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive15344.20221219.7.1
title: Streptomyces lavendulae subsp. lavendulae (Waksman and Curtis 1916) Pridham 1970

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.