cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/37kyww3gxj
title: Codes and dataset for "An efficient Balanced Teaching-Learning-Based optimization algorithm with Individual restarting strategy for solving global optimization problems"

description: These dataset and codes correspond to "An efficient Balanced Teaching-Learning-Based optimization algorithm with Individual restarting strategy for solving global optimization problems" paper published in the Information Science journal and include:
1- BTLBO algorithm code .
2- Codes for running BTLBO.
3- Input data.
4-IEEE CEC14 benchmark suits.

Please cite the paper as:

Ahmad Taheri, Keyvan RahimiZadeh, Ravipudi Venkata Rao,
An efficient Balanced Teaching-Learning-Based optimization algorithm with Individual restarting strategy for solving global optimization problems,
Information Sciences,
Volume 576,
2021,
Pages 68-104,
ISSN 0020-0255,
https://doi.org/10.1016/j.ins.2021.06.064.
(https://www.sciencedirect.com/science/article/pii/S0020025521006551)
DOI: 10.17632/myyghj4nnh
title: Data for:Pollutant dissipation at the sediment-water-interface: a robust discrete continuum numerical model and recirculating laboratory experiments

description: This data set contains experimental data, the model and its input and output files used in the paper Drouin et al. 2021: Pollutant dissipation at the sediment-water-interface: a robust discrete continuum numerical model and recirculating laboratory experiments
DOI: 10.6084/m9.figshare.14303618.v1
title: BIBFRAME and the future of the description, linking and retrieval of information resources

description: Abstract This work analyzes the implementation of BIBFRAME (Bibliographic Framework) in libraries, aiming to identify future trends in the description, linkage, and recovery of information resources. The complex demands of library users have led to the emergence of sophisticated methods for the description of new information resources. These methods propose suggestive changes in the recovery of such resources, since the model of linked data on which BIBFRAME is based reveals the analysis of the relationships between the data of a certain domain of documentary information. The systematization of the library’s data and its transformation in linked data suppose the generation of search and recovery interfaces that are highly intuitive and graphically attractive for the final user. Thus, the progress of BIBFRAME implementation in library information systems will depend on its ability and flexibility to structure the millions of Machine-Readable Cataloging records that are available in libraries worldwide. In addition, we point to the ambitious goal of reaching universal interoperability, which is glimpsed among the different information systems that are present on the Web.
DOI: 10.6084/m9.figshare.22746848.v1
title: Acquired signals for station 52014

description: compressed archive with {measurmentId}.npy files from contacless method for detecting partial discharges in xlpe cc power transmission lines
DOI: 10.6084/m9.figshare.26183537.v1
title: Supplemental Data: Crystallization Instead of Amorphization in Collision Cascades in Gallium Oxide

description: (1) beta_cascade: initial beta-Ga2O3 cells go through certain amount of 1.5 keV collision cascade loop (after xxx PKAs) at 300 K (in LAMMPS dump format).(2) gamma_cascade: initial gamma-Ga2O3 cells go through certain amount of 1.5 keV collision cascade loop (after xxx PKAs) at 300 K (in LAMMPS dump format).(3) beta_cascade_and_annealing: initial beta-Ga2O3 cells go through certain amount of collision cascade loop (after xxx PKAs) and then 4000 ps thermal annealing at 1500 K and 0 bar (in LAMMPS dump format).(4) beta_to_gamma_phase_transition_80atom_cell: frames of the beta-to-gamma phase transition pathways (in extxyz format). <br>
DOI: 10.6084/m9.figshare.7842896.v1
title: Additional file 6: of A large close relative of C. elegans is slow-developing but not long-lived

description: Postembryonic_milestone_time_data.tsv. Developmental timing data for postembryonic milestones. (TSV 37 kb)
DOI: 10.17632/kjycnddy9s
title: INDUSTRIAL FISHING VESSELS DATA FOR SAFETY LEVEL APPROACH
DOI: 10.17632/td6tdp4m6t
title: World’s Top 2% of Scientists list by Stanford University: An Analysis of its Robustness

description: John Ioannidis and co-authors [1] created a publicly available database of top-cited scientists in the world. This database, intended to address the misuse of citation metrics, has generated a lot of interest among the scientific community, institutions, and media. Many institutions used this as a yardstick to assess the quality of researchers. At the same time, some people look at this list with skepticism citing problems with the methodology used. Two separate databases are created based on career-long and, single recent year impact. This database is created using Scopus data from Elsevier[1-3]. The Scientists included in this database are classified into 22 scientific fields and 174 sub-fields. The parameters considered for this analysis are total citations from 1996 to 2022 (nc9622), h index in 2022 (h22), c-score, and world rank based on c-score (Rank ns). Citations without self-cites are considered in all cases (indicated as ns). In the case of a single-year case, citations during 2022 (nc2222) instead of Nc9622 are considered. To evaluate the robustness of c-score-based ranking, I have done a detailed analysis of the matrix parameters of the last 25 years (1998-2022) of Nobel laureates of Physics, chemistry, and medicine, and compared them with the top 100 rank holders in the list. The latest career-long and single-year-based databases (2022) were used for this analysis. The details of the analysis are presented below: Though the article says the selection is based on the top 100,000 scientists by c-score (with and without self-citations) or a percentile rank of 2% or above in the sub-field, the actual career-based ranking list has 204644 names[1]. The single-year database contains 210199 names. So, the list published contains ~ the top 4% of scientists. In the career-based rank list, for the person with the lowest rank of 4809825, the nc9622, h22, and c-score were 41, 3, and 1.3632, respectively. Whereas for the person with the No.1 rank in the list, the nc9622, h22, and c-score were 345061, 264, and 5.5927, respectively. Three people on the list had less than 100 citations during 96-2022, 1155 people had an h22 less than 10, and 6 people had a C-score less than 2. In the single year-based rank list, for the person with the lowest rank (6547764), the nc2222, h22, and c-score were 1, 1, and 0. 6, respectively. Whereas for the person with the No.1 rank, the nc9622, h22, and c-score were 34582, 68, and 5.3368, respectively. 4463 people on the list had less than 100 citations in 2022, 71512 people had an h22 less than 10, and 313 people had a C-score less than 2. The entry of many authors having single digit H index and a very meager total number of citations indicates serious shortcomings of the c-score-based ranking methodology. These results indicate shortcomings in the ranking methodology.
DOI: 10.6084/m9.figshare.1116100.v1
title: PROBLEMATIC INTERNET USE AND GENERAL HEALTH AMONG STUDENTS

description: Internet is an unavoidable necessity in this photonic age. Even though the Internet is now an<br>information rich technology used by millions of people, Problematic Internet Use is a matter of concern<br>that requires the attention of scientific and research community.
DOI: 10.6084/m9.figshare.16437939.v1
title: Additional material for article "Exploring bacterial diversity via a curated and searchable snapshot of archived DNA sequences"

description: The open sharing of genomic data provides an incredibly rich resource for the study of bacterial evolution and function, and even anthropogenic activities such as the widespread use of antimicrobials. However, these data consist of genomes assembled with different tools and levels of quality-checking, and of large volumes of completely unprocessed raw sequence data. In both cases, considerable computational effort is required before biological questions can be addressed. Here, we assembled and characterised 661,405 bacterial genomes retrieved from the European Nucleotide Archive (ENA) in November of 2018 using a uniform standardised approach. Of these, 311,006 did not previously have an assembly. We produced a searchable COBS index, facilitating the easy interrogation of the entire dataset for a specific sequence (e.g. gene, mutation or plasmid). Additional MinHash and pp-sketch indices support genome-wide comparisons and estimations of genomic distance. Combined, this resource will allow data to be easily subset and searched, phylogenetic relationships between genomes to be quickly elucidated, and hypotheses rapidly generated and tested. We believe this combination of uniform processing and variety of search/filter functionalities will make this a resource of very wide utility. In terms of diversity within the data, a breakdown of the 639,981 high quality genomes emphasised the uneven species composition of the ENA/public databases, with just 20 of the total 2,336 species making up 90% of the genomes. The over-represented species tend to be acute/common human pathogens, aligning with research priorities at different levels from individual interests to funding bodies and national and global public health agencies.<br>
DOI: 10.6084/m9.figshare.25632429.v7
title: Course-Skill Atlas: A national longitudinal dataset of skills taught in U.S. higher education curricula

description: Higher education plays a critical role in driving an innovative economy by equipping students with knowledge and skills demanded by the workforce.While researchers and practitioners have developed data systems to track detailed occupational skills, such as those established by the U.S. Department of Labor (DOL), much less effort has been made to document which of these skills are being developed in higher education at a similar granularity.Here, we fill this gap by presenting Course-Skill Atlas -- a longitudinal dataset of skills inferred from over three million course syllabi taught at nearly three thousand U.S. higher education institutions. To construct Course-Skill Atlas, we apply natural language processing to quantify the alignment between course syllabi and detailed workplace activities (DWAs) used by the DOL to describe occupations. We then aggregate these alignment scores to create skill profiles for institutions and academic majors. Our dataset offers a large-scale representation of college education's role in preparing students for the labor market.Overall, Course-Skill Atlas can enable new research on the source of skills in the context of workforce development and provide actionable insights for shaping the future of higher education to meet evolving labor demands, especially in the face of new technologies.
DOI: 10.6084/m9.figshare.26499379.v2
title: Data supporting Hugelier et al 2024

description: Data supporting the publication entitled "ECLiPSE: A Versatile Classification Technique for Structural and Morphological Analysis of Single-Molecule Localization Microscopy Data" by Hugelier et al.
DOI: 10.17632/rhk5drfk78
title: Social, task and information elements and their interactions in a disaster response

description: The data are derived from a detailed case study of the emergency response to the severe rainstorm and geological disaster that occurred in Longchuan County, China, in 2019. The whole event is extensively documented in the published monograph, ''Comprehensive Response to Emergencies: Lessons from the 2019 Severe Rainstorm and Geological Disaster in Longchuan County''. The data are particularly representative as they encapsulate a comprehensive record of emergency management activities, from the collection of meteorological and hydrological information to the initiation and execution of a Level III flood control emergency response. Moreover, the data details the collaborative interactions among various human and non-human agents and the rich relationships among information and task elements. Therefore, this data set is suitable for the study of distributed situation awareness (DSA) in disaster response.
DOI: 10.6084/m9.figshare.25912267.v9
title: Mechanical performance dataset for alloy with applications at low temperatures

description: Low-temperature alloys are important for a wide spectrum of modern technologies ranging from liquid hydrogen, superconductivity to the quantum technology. These applications push the limit of material performance into extreme coldness, often demanding a combination of strength and toughness to address various challenges.Steel is one of the most widely used materials in cryogenic applications. With the deployment in aerospace liquid hydrogen storage and transportation, aluminum and titanium alloys are also gaining increasing attention. Emerging medium-entropy alloys (MEAs) and high-entropy alloys (HEAs) demonstrate excellent low-temperature mechanical performance with a much-expanded space of material design. A database of low-temperature metallic alloys is reported here by collecting the literature data published from 1991 to 2023, which is hosted in an open repository. The workflow of data collection includes automated extraction based on machine learning and natural language processing, supplemented by manual inspection and correction, to enhance data extraction efficiency and database quality. The product datasets cover key performance parameters including yield strength, tensile strength, elongation at fracture, Charpy impact energy, as well as detailed information on materials such as their types, chemical compositions, processing and testing conditions. Data statistics are analyzed to elucidate the research and development patterns and clarify the challenges in both scientific exploration and engineering deployment.
DOI: 10.6084/m9.figshare.25996702.v1
title: Data and R code for "Long-term cooperative relationships among vampire bats are not strongly predicted by their initial interactions as strangers"

description: In many group-living animals, survival and reproductive success depend on the formation of long-term social bonds. Yet it remains largely unclear why particular pairs of groupmates form social bonds and not others. Can social bond formation be reliably predicted from both individuals’ traits and behaviors at first encounter? Or do changes in the social environment over time make social bonding unpredictable? To begin to address these questions, we asked how well long-term cooperative relationships among vampire bats were predicted by how they interacted during their first encounter as introduced strangers. In Study 1, we found that the first 6 hours of observed interactions among unfamiliar bats co-housed in small cages did not clearly predict formation of allogrooming or food-sharing relationships over the next 10 months. In Study 2, we found that biologger-tracked first contacts during the first 4—24 hours together in a flight cage did not strongly predict allogrooming rates over the next 4 months. These results corroborate past evidence that social bonding is not reducible to the individual traits or behaviors observed at first encounter, because “first impressions” can be overshadowed by future interactions.
DOI: 10.6084/m9.figshare.28996382.v1
title: RGB Color Correction and Gamut Limitations in Smartphone-Based Kinetic Analysis of Chemical Reactions [machine-readable supporting information]

description: The variability in hardware specifications and environmental factors poses significant challenges to the use of smartphone cameras in analytical measurement. We systematically quantified multiple sources of uncertainty in smartphone-based color measurements, finding that while sensor repeatability is high (∆E &lt; 0.5), lighting conditions and viewing angles can introduce substantial errors (∆E increasing by up to 64% at oblique angles). We implemented and evaluated a matrix-based image color correction methodology using a color reference chart, reducing inter-device and lighting-dependent variations by 65-70% (quantified by the color change metric, ∆E). Moving beyond static image correction to video analysis, our approach was validated through the monitoring of Blue1 dye degradation kinetics using videos recorded on two different smartphones. Time-resolved and color-corrected measurements from both devices produced consistent kinetic profiles. Importantly, we identified a fundamental limitation in RGB-based colorimetry: highly saturated colors that exceed the sRGB color gamut create artificial discontinuities in kinetic profiles, manifesting as ”shouldering” effects not present in spectrophotometric data. Unlike previous methods that focused on controlling environmental factors through custom enclosures, our color correction methodology systematically quantifies and corrects for multiple sources of uncer-tainty across various smartphone models, enabling standardized measurements even in variable conditions. This advancement enhances the reliability of field-ready, smartphone-based colorimetric applications and establishes a framework for calibrating video-based reaction monitoring against established spectroscopic measurements.
DOI: 10.6084/m9.figshare.7231010.v1
title: Effects of Neutering Across Breeds and Mixed Breeds

description: Datasets used to study the effects of neutering (including spaying) in increasing the incidence of joint disorders and cancers in Australian Cattle Dogs, Australian Shepherds, Beagles, Bernese Mountain Dogs, Border Collies, Boston Terriers, Boxers, Bulldogs, Cavalier King Charles Spaniels, Chihuahuas, Cocker Spaniels, Collies, Corgis, Dachshunds, Doberman Pinschers, English Springer Spaniels, German Shepherds, Golden Retrievers, Great Danes, Irish Wolfhounds, Jack Russell Terriers, Labrador Retrievers, Malteses, Miniature Schnauzers, Pomeranians, Poodles (3 varieties), Pugs, Rottweilers, Saint Bernards, Shetland Sheepdogs, Shih Tzus, West Highland White Terriers, Yorkshire Terriers, and 5 weight categories of mixed breed dogs: small (&lt;10kg), medium (10-19kg), standard (20-29kg), large (30-39kg), and giant (40+kg). Veterinary hospital records from the University of California, Davis were examined for dogs ranging from ages 1 to 11 for the effects of neutering during the specified age ranges: before 6 mo., and during 6-11 mo., during 1 year and in years 2 through 8. The diseases examined were hip dysplasia, CCL tear, elbow dysplasia, lymphosarcoma, mast cell tumor, hemangiosarcoma, osteosarcoma, mammary cancer, pyometra, and urinary incontinence.<br>
DOI: 10.17632/4tgr77pzrk
title: Ultrasound elastographic assessment of plantar fascia in runners using rearfoot strike and forefoot strike

description: The study aimed to use the ultrasonic shear wave elastography to investigate and compare the plantar fascia stiffness among runners using rearfoot strike and forefoot strike. The primary variable was the mean shear wave velocity of the plantar fascia. The fascia thickness and echotexture on the B-mode ultrasound images were also examined as the secondary outcomes. It was hypothesized that forefoot strikers would exhibit increased fascia thickness and produced more hypoechoic plantar fascia than rearfoot strikers. The shear wave velocity of the plantar fascia would also reduce in forefoot strikers compared to rearfoot strikers.
DOI: 10.6084/m9.figshare.17039813.v3
title: A 3D deep learning approach to epicardial fat segmentation in non-contrast and post-contrast cardiac CT images

description: Raw CT data of epicardial fat in NRRD format.<br>Training and Testing data<br>Non-contrast and post-contrast datasetGround-truth segmentation
DOI: 10.17632/6mh6gy9r6z
title: Cobalt recycling analysis of patents' data

description: The patent dataset analyzed is based on search criteria aimed at differentiating patent data regarding worldwide filed applications dealing with Cobalt recycling, and subsequently focusing on NMC battery recycling. Such differentiation is essentially achieved by two different search strategies aimed at retrieving the patent data from the EPO database Patstat (Autumn 2022 ed.), the former being based on the presence of the CPC Y02P10/20 classification code in the search query, while the latter being devoid of the CPC Y02P10/20.
The two datasets exclusively based on a list of classification codes w/o keywords can be used as control, to be subsequently compared to results focusing instead on Cobalt in case this element is specified in the search criteria mentioned above, due to its possible presence either in the patent title or in the abstract.
The patent applications’ trends can be evaluated worldwide during the last decade (2010 – 2022). Additional information is based on proxies that have been dealt with in the publication regarding the equivalent approach used to look for WEEE/RAEE recycling (see: "WEEE recycling patents' dataset", DOI: 10.17632/4ysw32c9fy.1).
Moreover, the inclusion of the CPC “green” classification code Y02P10/20 (see “Rare Earth Elements (REE) recycling analysis of patents' data”, doi: 10.17632/c2293m3yjf), specifically regarding the metal recycling methodologies, determines a consistent increase of the patent documents retrieved without including such classification code in the search query. Interestingly, if the search query is modified by simply replacing the CPC classification code with the IPC/CPC C22B23 code, specifically referring to the production of Cobalt or Nickel, almost 90% of the data are common to both patent collections, even if the C22B23 might be not acknowledged as a “green” classification code.
The datasets produced with or without including the CPC Y02P10/20 can undergo further analysis, performed using the Orbit Intelligence patent database (available from Questel) to focus on the NMC batteries recycling. The proxies analyzed in each of these two NMC datasets lead to the conclusion that while the presence of CPC Y02P10/20 in the search query might positively affect the exhaustivity of the Cobalt recycling search, on the other hand the specificity of the NMC search criteria diminishes and therefore some strategy to cleanup false positive results should be taken in consideration.
DOI: 10.17632/cwjw9jc8dt
title: Relationships between student cognitive engagement and their academic achievement

description: This is the raw data collected from students in junior secondary school in China 1) To investigate whether cognitive engagement predicts student academic achievement; 2) To investigate whether student gender has the moderating role on the relationship between cognitive engagement and academic achievement. In the Excel sheet it shows the demographic Information of participants, and the items related to cognitive engagement and student academic achievement. The first 3 items are the demographic information including student gender, Grade, and age. The following four items(1,2,3,4) are for measuring cognitive engagement, and student academic achievement was measured by the examination scores which showed the fifth item(5) in this data. All the raw data was collected face to face, after the screening, the researcher entered the data into the Excel sheet for analysis.
DOI: 10.17632/hcdmswc69m
title: R21TR004333 Effect of novel compounds on Kir6.1 currents

description: This data is deposition of patch clamp data from an NIH-funded R21 to discover Kir6.1 ion channel drug-like activating compounds. The data is preliminary. A word document is provided describing the method and a csv file containing the actual data