cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.2064498
title: Raman spectroscopy detects melanoma and the tissue surrounding melanoma using tissue-engineered melanoma models

description: Invasion of melanoma cells from the primary tumor involves interaction with adjacent tissues and extracellular matrix. The extent of this interaction is not fully understood. In this study Raman spectroscopy was applied to cryo-sections of established 3D models of melanoma in human skin. Principal component analysis was used to investigate differences between the tumor and normal tissue and between the peri-tumor area and the normal skin. Two human melanoma cells lines A375SM and C8161 were investigated and compared in 3D melanoma models. Changes were found in protein conformations and tryptophan configurations across the entire melanoma samples, in tyrosine orientation and in more fluid lipid packing only in tumor dense areas, and in increased glycogen content in the peri-tumor areas of melanoma. Raman spectroscopy revealed changes around the perimeter of a melanoma tumor as well as detecting differences between the tumor and the normal tissue.
DOI: 10.25377/sussex.5777712.v2
title: Dataset for Paper: High-energy terahertz surface optical rectification

description: <b>Data for a research paper published in Nano Energy April 2018</b><br> The data provided is the data used to compile each of the 10 figures in the research paper. The .txt files contain the variables for the measured raw data contained in the related .mat file.The format of the raw data is .mat - MATLAB binary -v7, which is compatible and portable to GNU Octave version &gt;4.0 (tested). You will need access to the Matlab environment or GNU Octave environment to view these files.<br><b>Abstract</b>The interest in surface terahertz emitters lies in their extremely thin active region, typically hundreds of atomic layers, and the agile surface scalability. The ultimate limit in the achievable emission is determined by the saturation of the several different mechanisms concurring to the THz frequency conversion. Although there is a very prolific debate about the contribution of each process, surface optical rectification has been highlighted as the dominant process at high excitation, but the effective limits in the conversion are largely unknown.The current state of the art suggests that in field-induced optical rectification a maximum limit of the emission may exist and it is ruled by the photocarrier induced neutralisation of the medium's surface field. This would represent the most important impediment to the application of surface optical rectification in high-energy THz emitters.We experimentally unveil novel physical insights in the THz conversion at high excitation energies mediated by the ultrafast surface optical rectification process. The main finding is that the expected total saturation of the Terahertz emission vs pump energy does not actually occur. At high energy, the surface field region contracts towards the surface. We argue that this mechanism weakens the main saturation process, re-establishing a clearly observable quadratic dependence between the emitted THz energy and the excitation. This is relevant in enabling access to intense generation at high fluences.<br>
DOI: 10.6084/m9.figshare.1237142.v1
title: LDoutput_RandomSamples

description: Arlequin output for LD analysis of random samples from dataset.
DOI: 10.6084/m9.figshare.19550932.v1
title: Table S4.xlsx

description: List of enriched Gene Ontology (GO) terms.
DOI: 10.6084/m9.figshare.28952606.v32
title: Logic innovation NEW

description: Logic innovation
DOI: 10.6084/m9.figshare.1577563.v1
title: A randomized placebo-controlled trial of positive psychology interventions in Australia

description: In our study we attempted a partial replication of the study of Seligman, Steen, Park, and Peterson (2005) which had suggested that the web-based delivery of positive psychology exercises could, as the consequence of containing specific, powerful therapeutic ingredients, effect greater increases in happiness and greater reductions in depression than could a placebo control.Participants (n=295) were randomly allocated to one of four intervention groups referred to, in accordance with the terminology in Seligman et al. (2005) as 1: Using Signature Strengths; 2: Three Good Things; 3: Gratitude Visit; 4: Early Memories (placebo control).At the commencement of the study, participants provided basic demongraphic information (age, sex, education, income) in addition to completing a pretest on the Authentic Happiness Inventory (AHI) and the Center for Epidemiologic Studies-Depression (CES-D) scale. Participants were asked to complete intervention-related activities during the week following the pretest. Futher measurements were then made on the AHI and CESD immediately after the intervention period ('posttest') and then 1 month after the posttest (day 38), 3 months after the posttest (day 98), and 6 months after the posttest (day 189). Participants were not able to to complete a follow-up questionnaire <i>prior </i>to the time that it was due but might have completed at either at the time that it was due, or later. We recorded the date and time at which follow-up questionnaires were completed.<br>The dataset includes a code book (in PDF 1.5 and plain-text), two data files, a copy of the media-release that was used to announce the study, and a copy of all instructions given to participants. The file participant-info.csv contains basic demographic information about participants. The file ahi-cesd.csv contains scores for each item of the CES-D scale and each item of the AHI scale for all completed measurement occasions. Not all participants completed measurements on all occasions.<br>Refer to the data article in Journal of Open Psychology Data at DOI: https://doi.org/10.5334/jopd.35 for further details.<br>
DOI: 10.11583/dtu.1607410.v1
title: SOC tests database v1.00 (open-access).xlsx

description: A collection of tests reported in the solid oxide cell devices community. SOFC cell, SOFC stack, SOEC cell and SOEC stack tests are included. Originally published in relation to T. Skafte et al., EFCF 2016, B0501 (2016) - link: https://findit.dtu.dk/en/catalog/2346697333<br>
DOI: 10.17632/t837ry5yx8
title: How new-age startups are dependent on external funding, which may lead to worsening of economic cult

description: 

In recent years, the world has seen an explosion of new-age startups, driven by innovative ideas and a relentless pursuit of disruption. However, a common thread that ties many of these startups together is their dependence on external funding to sustain their operations and fuel their growth. While this dependence on external funding may seem like a necessary evil in the early stages of a startup's journey, it can also lead to the worsening of economic cult.

One of the main reasons why startups rely on external funding is the high cost of innovation. Developing new technologies and products is a costly and time-consuming process, and most startups simply do not have the financial resources to cover these costs on their own. This is where venture capitalists and other investors come in, providing the necessary capital to fuel the startup's growth.

However, this dependence on external funding can have several negative consequences. For one, it can lead to a situation where startups are more focused on impressing investors and securing funding than on developing a sustainable business model. In some cases, startups may prioritize growth over profitability, leading to unsustainable practices that ultimately harm the economy.

Another potential downside of external funding is the risk of a funding bubble. When too much money is flowing into the startup ecosystem, it can create a situation where valuations become inflated and investors are willing to overlook red flags in order to get in on the ground floor. This can lead to a situation where startups are overvalued and ultimately fail to deliver on their promises, leaving investors holding the bag.

Finally, external funding can also lead to a concentration of wealth and power in the hands of a few investors and entrepreneurs. This can lead to a situation where a small number of companies dominate entire industries, making it difficult for new startups to enter the market and compete on a level playing field. This concentration of wealth can also exacerbate income inequality and other economic problems, further worsening the economic cult.

In conclusion, while external funding is a necessary part of the startup ecosystem, it is important to recognize the potential downsides and work to mitigate these risks. Startups should focus on developing sustainable business models that prioritize profitability over growth, and investors should be wary of inflated valuations and potential funding bubbles. By working together, we can create a startup ecosystem that is both innovative and economically sustainable.
DOI: 10.25377/sussex.23633862.v1
title: Dataset for paper: Human Stress Detection: Cortisol Levels in Stressed Speakers Predict Voice-Based Judgments of Stress

description: Data for <em>Human Stress Detection: Cortisol Levels in Stressed Speakers Predict Voice-Based Judgments of Stress </em>in Perception, Volume 50 Issue 1, January 2021 Abstract Despite recent evidence of a positive relationship between cortisol levels and voice pitch in stressed speakers, the extent to which human listeners can reliably judge stress from the voice remains unknown. Here, we tested whether voice-based judgments of stress co-vary with the free cortisol levels and vocal parameters of speakers recorded in a real-life stressful situation (oral examination) and baseline (2 weeks prior). Hormone and acoustic analyses indicated elevated salivary cortisol levels and corresponding changes in voice pitch, vocal tract resonances (formants), and speed of speech during stress. In turn, listeners’ stress ratings correlated significantly with speakers’ cortisol levels. Higher pitched voices were consistently perceived as more stressed; however, the influence of formant frequencies, vocal perturbation and noise parameters on stress ratings varied across contexts, suggesting that listeners utilize different strategies when assessing calm versus stressed speech. These results indicate that nonverbal vocal cues can convey honest information about a speaker’s underlying physiological level of stress that listeners can, to some extent, detect and utilize, while underscoring the necessity to control for individual differences in the biological stress response.
DOI: 10.6084/m9.figshare.19706728.v1
title: Antimicrobial resistance surveillance report, Phatthalung Hospital, Phatthalung, Thailand, 01 Jan 2021 to 26 Aug 2021

description: The AMASSplus application is an extension of AMASS Version 1.1 that was released on 12 January 2021. AMASSplus has an additional report (page 38-40) on selected notifiable bacterial diseases.For implementation of AMASSplus at your hospitals in Thailand.The application can be downloaded from https://www.amass.website This is a repository of the files for Phatthalung Hospital.The attached four files are: 1) The AMR surveillance report automatically generated from AMASSplus using hospital admission and microbiology data of Phatthalung Hospital in Thailand 2) Aggregated summary data in .csv format automatically generated from AMASSplus 3) Data dictionary for microbiology data file of Phatthalung Hospital (configured by the hospital to be used with the AMASSplus application) 4) Data dictionary for hospital admission data of Phatthalung Hospital (configured by the hospital to be used with the AMASSplus application) Please note that the two data dictionary files can be re-used with the data files of the hospital in the future in cases when variables names and values in the raw data remained unchanged.
DOI: 10.6084/m9.figshare.28246319.v1
title: Raw Data from ADCP & CTD

description: These are oceanographic data obtained by CTD and ADCP during the 185th cruise with German Research Vessel METEOR in November 2022.
DOI: 10.6084/m9.figshare.17914796.v1
title: E. albens genes

description: Eucalyptus albens genes, as predicted by BRAKER2 using gene homolgy.<br><br>gtf file of transcript locationsAmino acid transcipt sequencesNucleotide transcipt sequences
DOI: 10.6084/m9.figshare.7636301.v6
title: EEG data of motor imagery for stroke

description: This dataset is about motor imagery experiment for stroke patients. Every patient has the right one and left one in according to paretic hand movement or unaffected hand movement.
DOI: 10.6084/m9.figshare.7795805.v1
title: Increased creative thinking in narcolepsy

description: These are the data that support the findings of the study "Increased creative thinking in narcolepsy".<br><br>
DOI: 10.6084/m9.figshare.22708036.v1
title: Less is More: An Empirical Study of Undersampling Techniques for Technical Debt Prediction

description: Technical Debt (TD) prediction is crucial to preventing software quality degradation and maintenance cost increase. Recent Machine Learning (ML) approaches have shown promising results in TD prediction, but the imbalanced TD datasets can have a negative impact on ML model performance. Although previous TD studies have investigated various oversampling techniques that generates minority class instances to mitigate the imbalance, potentials of undersampling techniques have not yet been thoroughly explored due to the concerns about information loss. To address this gap, we investigate the impact of undersampling on ML model performance for TD prediction by utilizing 17,797 classes from 25 Java open-source projects. We compare the performance of ML models with different undersampling techniques and evaluate the impact of combining them with widely used oversampling techniques in TD studies. Our findings reveal that (i) undersampling can significantly improve ML model performance compared to oversampling and no resampling; (ii) the combined application of undersampling and oversampling techniques leads to a synergy of further performance improvement compared to applying each technique exclusively. Based on these results, we recommend practitioners to explore various undersampling techniques and their combinations with oversampling techniques for more effective TD prediction.<br>This package is for the replication of 'Less is More: an Empirical Study of Undersampling Techniques for Technical Debt Prediction'File list:X.csv, Y.csv: - These are the datasets for the study, used in the ipynb file below.<br>under_over_sampling_scripts.ipynb: - These scripts can obtain all the experimental results from the study. - They can be run through Jupyter Notebook or Google Colab. - The required packages are listed at the top in the file, so installation via pip or conda is necessary before running.Results_for_all_tables.csv: This is a csv file that summarizes all the results obtained from the study.
DOI: 10.17632/4ytft6zgk7
title: A new way to use nonlocal symmetries to determine first integrals of second-order nonlinear ordinary differential equations

description: Finding first integrals of second-order nonlinear ordinary differential equations (nonlinear 2ODEs) is a very difficult task. In very complicated cases, where we cannot find Darboux polynomials (to construct an integrating factor) or a Lie symmetry (that allows us to simplify the equations), we sometimes can solve the problem by using a nonlocal symmetry. In [1], [2], [3] we developed (and improved) a method (S-function method) that is successful in finding nonlocal Lie symmetries to a large class of nonlinear rational 2ODEs. However, even with the nonlocal symmetry, we still need to solve a 1ODE (which can be very difficult to solve) to find the first integral. In this work we present a novel way of using the nonlocal symmetry to compute the first integral with a very efficient linear procedure.
DOI: 10.6084/m9.figshare.12554555.v2
title: Groeskamp et al 2020 - mixing diffusivities

description: Data files from the publication by Groeskamp, LaCasce, McDougall and Rogé. Available are suppressed mixing (K), unsuppressed mixing (K0) and flat-bottom mixing (Kf), all interpolated to the World Ocean Atlas 2018 grid. Also available are some Matlab scripts used to calculate these files. The scripts ask for data that can all be produced by the user, based on the information in the paper.
DOI: 10.17632/b9hdy2swyy
title: Dataset of college student's green purchase intention and behavior  

description: This primary data was collected from college students in a major educational institution in North India to examine the green purchase behavior of respondents. A total of 253 responses were collected on various constructs associated with green purchase behavior. The survey was administered in class-room settings using a structured questionnaire. Seven-point Likert scale (where 1=strongly disagree and 7=strongly agree) was used to elicit respondent's response on various constructs such as attitude towards green products, subjective norms, perceived behavioural control, environmental concern, ethical obligation, green purchase intention and green purchase behavior. The data also consists of demographic information such as gender, age and marital status. The data was used to empirically test the proposed research model using structural equation modeling.
DOI: 10.6084/m9.figshare.1517810.v1
title: Transparent Data Encryption – Solution for Security of Database Contents

description: Abstract— The present study deals with Transparent Data Encryption which is a technology used to solve the problems of security of data. Transparent Data Encryption means encrypting<br>databases on hard disk and on any backup media. Present day global business environment presents numerous security threats and compliance challenges. To protect against data thefts and<br>frauds we require security solutions that are transparent by design. Transparent Data Encryption provides transparent, standards-based security that protects data on the network, on disk and on backup media. It is easy and effective protection of<br>stored data by transparently encrypting data. Transparent Data Encryption can be used to provide high levels of security to columns, table and tablespace that is database files stored on<br>hard drives or floppy disks or CD’s, and other information that requires protection. It is the technology used by Microsoft SQL Server 2008 to encrypt database contents. The term encryption<br>means the piece of information encoded in such a way that it can only be decoded read and understood by people for whom the information is intended. The study deals with ways to create<br>Master Key, creation of certificate protected by the master key, creation of database master key and protection by the certificate and ways to set the database to use encryption in Microsoft SQL<br>Server 2008.
DOI: 10.6084/m9.figshare.21981536.v1
title: ProjecTILs human reference atlas of CD4+ tumor-infiltrating T cells, version 1

description: ProjecTILs human reference atlas of CD4+ tumor-infiltrating T cells, generated by semi-supervised STACAS integration of 20 scRNA-seq datasets spanning 7 cancer types. The datasets were obtained from the collection by Zheng et al. Science 2021). The dataset is available as a Seurat object, with subtype labels (functional cluster), sample of origin and several other measurement for each cell stored in the object metadata. The object can be loaded into an R session using the readRDS() function, and directly used as a reference atlas for ProjecTILs (Andreatta et al. Nat Comms 2021).
DOI: 10.17605/osf.io/6hc93
title: Roots & Results (RoRe): A diachronic database of English verbal lexical semantics

description: The Roots & Results (RoRe) dataset is a richly annotated dataset of English verbs from three historical stages: Old English, Middle English and Early Modern English. Each verb in the dataset is tagged for lexical semantics, prefixation and etymology.
DOI: 10.6084/m9.figshare.22785503.v1
title: Code and data for SLM

description: Code and data for SLM are available for access, supporting the paper titled "Next Location Prediction Using a Flexible Strategy of Subgraph Learning on Road Networks," recently accepted by the IJGIS journal.
DOI: 10.6084/m9.figshare.8281058.v1
title: Single Nucleotide Polymorphism (SNP) identified.xlsx

description: Single Nucleotide Polymorphism (SNP) identified
DOI: 10.17632/vs2mh9cn4t
title: IDSOLVER: A general purpose solver for n th-order integro-differential equations

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract Many mathematical models of complex processes may be posed as integro-differential equations (IDE). Many numerical methods have been proposed for solving those equations, but most of them are ad hoc thus new equations have to be solved from scratch for translating the IDE into the framework of the specific method chosen. Furthermore, there is a paucity of general-purpose numerical solvers that free the user from additional tasks. Here we present a general-purpose MATLAB® solver that has the ... Title of program: idsolver Catalogue Id: AEQU_v1_0 Nature of problem To solve a wide variety of integro-differential equations (IDE) of arbitrary order, including the Volterra and Fredholm IDE, variable limits on the integral, and non-linear IDE. Versions of this program held in the CPC repository in Mendeley Data AEQU_v1_0; idsolver; 10.1016/j.cpc.2013.09.008
DOI: 10.21954/ou.rd.12490862.v2
title: North Rupununi Orthomosaic_A1_12 02 2020

description: 5 cm resolution orthomap (GeoTiff format) of first block of Amoko Lake, North Rupununi, 2km x 2km quadrant. Drone survey was carried out on the 15th of February 2020.
DOI: 10.6084/m9.figshare.26000668.v3
title: Rehearsal_011619.csv

description: Excel data files from the rehearsal done on 01/16/19.
DOI: 10.17632/bt4ycypphk
title: Curation data of SARS-CoV-2 Main Protease (Mpro) PDB entries and Glide_High-throughput virtual screening (HTVS)_Flavonoids Docking Scores

description: High-throughput virtual screening, modlecular docking scores dataset of 2055 flavonoids against the SARS-CoV-2 main protease 6LU7 using Schrodinger Glide software.
Curation data of SARS-CoV-2 Main Protease (Mpro) PDB entries used for the identification and selection of docking protein.
DOI: 10.6084/m9.figshare.14380970.v2
title: DanFEVER: claim verification dataset for Danish

description: DanFEVER is a dataset intended for claim verification in Danish. The dataset builds upon the task framing of the well known (English) FEVER fact extraction and verification challenge. DanFEVER can be used for creating models for detecting mis- & disinformation in Danish as well as for verification in multilingual settings. <br><br>Published in NoDaLiDa 2021.License: CC-BY-SA
DOI: 10.6084/m9.figshare.14449764.v1
title: Douala_port_data.csv

description: Monthly Container throughput data and 7 multivariate predictor variables associated with port operationspredictor variable description;-container dwell time (days)<br>-ship turnaround time (days)-average vessel draft (meters)<br>-berth productivity (container moves per hour)<br>-average teu per arrival (teu)<br>-average costum declaration (days)<br>-storage capacity (teu)<br>response variable description-monthly container throughput<br>data consists of monthly values from Jan 2008 - Dec 2020.<br>
DOI: 10.6084/m9.figshare.17073848.v2
title: BET data of silica xerogel synthesized from corn husk via the sol-gel method

description: BET surface area, pore size, and N<sub>2</sub> adsorption-desorption isotherm data of silica xerogel synthesized from corn husk via the sol-gel method